{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA Publication Models.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}16 Jan 2017, 10:46:56

{com}. do "C:\Users\Jeff\AppData\Local\Temp\STD01000000.tmp"
{txt}
{com}. clear
{txt}
{com}. use "C:\Users\Jeff\Documents\DissertationFolder\Aid\NewMasterData.dta"
{txt}
{com}. 
. drop if dyadid==.
{txt}(0 observations deleted)

{com}. drop if year==87
{txt}(0 observations deleted)

{com}. drop if year==-99
{txt}(0 observations deleted)

{com}. xtset dyadid year
{res}{txt}{col 8}panel variable:  {res}dyadid (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1945 to 2013, but with gaps
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. label var imposition "Sanction Imposed"
{txt}
{com}. label var sMyWNeoDummy "Sender Elite University"
{txt}
{com}. label var tMyWNeoDummy "Target Elite University"
{txt}
{com}. label var MyDyadWNeoDummy "Both Elite University" 
{txt}
{com}. label var TestMyNeoliberal "Average Elite University"
{txt}
{com}. label var MajorSenderCost "Major Sender Cost"
{txt}
{com}. label var MajorTargetCost "Major Target Cost"
{txt}
{com}. label var n_issue1 "Dispute Issues"
{txt}
{com}. label var n_sanctiontypethreat "Type of Sanction Threat"
{txt}
{com}. label var BIT "Bilateral Investment Treaty"
{txt}
{com}. label var IMF "IMF Membership"
{txt}
{com}. label var WTO "WTO Membership"
{txt}
{com}. label var jointdem "Joint Democracy"
{txt}
{com}. label var igomember "IGO Membership"
{txt}
{com}. label var lowtradedep "Interdependence"
{txt}
{com}. label var ussender "US Sender"
{txt}
{com}. label var polity21 "Sender Regime"
{txt}
{com}. label var polity22 "Target Regime"
{txt}
{com}. label var us_targetdem "US*Target Regime"
{txt}
{com}. label var alliance_r "Alliance"
{txt}
{com}. label var capratio "Capability Ratio"
{txt}
{com}. label var cwongo "Military Conflict"
{txt}
{com}. label var sEdu "Sender Executive Education"
{txt}
{com}. label var tEdu "Target Executive Education"
{txt}
{com}. label var SenderGovt "Sender Government Ideology"
{txt}
{com}. label var TargetGovt "Target Government Ideology"
{txt}
{com}. label var WBScaleGovt "Overall Ideology"
{txt}
{com}. label var AddRestrictions "Additive Restrictions"
{txt}
{com}. label var FinOpen "Financial Openness"
{txt}
{com}. label var ExecImp "Executive Imposition"
{txt}
{com}. label var GovtImp "Government Imposition"
{txt}
{com}. 
. 
. *****************************************Publication Models*******************************************************
. ****Table 1****
. *Models 1 and 2*
. heckprob imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat= sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-522.58344}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.16372}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.16358}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.16358}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7161.6899}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5932.0967}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4415.4893}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4394.9772}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4394.9094}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4394.9094}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -662.6487}  
Iteration 1:{space 3}log pseudolikelihood = {res:-518.41786}  
Iteration 2:{space 3}log pseudolikelihood = {res:-517.14904}  
Iteration 3:{space 3}log pseudolikelihood = {res:-517.14593}  
Iteration 4:{space 3}log pseudolikelihood = {res:-517.14593}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4919.1272}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4912.6191}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4912.2592}  
Iteration 3:{space 3}log pseudolikelihood = {res: -4912.169}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4912.1676}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4912.1676}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   630850
{txt}                                                Censored obs       = {res}   629894
                                                {txt}Uncensored obs     = {res}      956

                                                {txt}Wald chi2({res}17{txt})      = {res}   192.34
{txt}Log pseudolikelihood = {res}-4912.168                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition       {txt}{c |}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .2323904{col 30}{space 2} .3897469{col 41}{space 1}    0.60{col 50}{space 3}0.551{col 58}{space 4}-.5314995{col 71}{space 3} .9962804
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .1713849{col 30}{space 2}  .443069{col 41}{space 1}    0.39{col 50}{space 3}0.699{col 58}{space 4}-.6970144{col 71}{space 3} 1.039784
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .1875427{col 30}{space 2} .2873683{col 41}{space 1}    0.65{col 50}{space 3}0.514{col 58}{space 4}-.3756888{col 71}{space 3} .7507742
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} -.600096{col 30}{space 2} .8155525{col 41}{space 1}   -0.74{col 50}{space 3}0.462{col 58}{space 4} -2.19855{col 71}{space 3} .9983576
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .0317151{col 30}{space 2} .5005108{col 41}{space 1}    0.06{col 50}{space 3}0.949{col 58}{space 4} -.949268{col 71}{space 3} 1.012698
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-1.152302{col 30}{space 2} .3773434{col 41}{space 1}   -3.05{col 50}{space 3}0.002{col 58}{space 4}-1.891882{col 71}{space 3}-.4127229
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .2649333{col 30}{space 2} .1451106{col 41}{space 1}    1.83{col 50}{space 3}0.068{col 58}{space 4}-.0194782{col 71}{space 3} .5493449
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2} -.747815{col 30}{space 2}  .183152{col 41}{space 1}   -4.08{col 50}{space 3}0.000{col 58}{space 4}-1.106786{col 71}{space 3}-.3888436
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} .8116388{col 30}{space 2} .2045494{col 41}{space 1}    3.97{col 50}{space 3}0.000{col 58}{space 4} .4107295{col 71}{space 3} 1.212548
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 2.639264{col 30}{space 2} 5.516255{col 41}{space 1}    0.48{col 50}{space 3}0.632{col 58}{space 4}-8.172398{col 71}{space 3} 13.45093
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.613083{col 30}{space 2} .2498411{col 41}{space 1}    6.46{col 50}{space 3}0.000{col 58}{space 4} 1.123403{col 71}{space 3} 2.102762
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0073234{col 30}{space 2} .0123139{col 41}{space 1}    0.59{col 50}{space 3}0.552{col 58}{space 4}-.0168113{col 71}{space 3} .0314582
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0405296{col 30}{space 2} .0121115{col 41}{space 1}    3.35{col 50}{space 3}0.001{col 58}{space 4} .0167915{col 71}{space 3} .0642677
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0061174{col 30}{space 2} .0171084{col 41}{space 1}    0.36{col 50}{space 3}0.721{col 58}{space 4}-.0274144{col 71}{space 3} .0396491
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.0177098{col 30}{space 2} .1724455{col 41}{space 1}   -0.10{col 50}{space 3}0.918{col 58}{space 4}-.3556968{col 71}{space 3} .3202773
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.125301{col 30}{space 2} .0376507{col 41}{space 1}   -3.33{col 50}{space 3}0.001{col 58}{space 4} -.199095{col 71}{space 3}-.0515071
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} .3446833{col 30}{space 2}  .277913{col 41}{space 1}    1.24{col 50}{space 3}0.215{col 58}{space 4}-.2000161{col 71}{space 3} .8893828
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-4.066408{col 30}{space 2} .7070638{col 41}{space 1}   -5.75{col 50}{space 3}0.000{col 58}{space 4}-5.452227{col 71}{space 3}-2.680588
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat           {txt}{c |}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.1751667{col 30}{space 2}  .129484{col 41}{space 1}   -1.35{col 50}{space 3}0.176{col 58}{space 4}-.4289508{col 71}{space 3} .0786173
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}  -.34902{col 30}{space 2} .1432236{col 41}{space 1}   -2.44{col 50}{space 3}0.015{col 58}{space 4}-.6297331{col 71}{space 3} -.068307
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .0824047{col 30}{space 2} .1501462{col 41}{space 1}    0.55{col 50}{space 3}0.583{col 58}{space 4}-.2118764{col 71}{space 3} .3766858
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} .8261313{col 30}{space 2} .2649065{col 41}{space 1}    3.12{col 50}{space 3}0.002{col 58}{space 4} .3069242{col 71}{space 3} 1.345338
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .0903849{col 30}{space 2} .1827424{col 41}{space 1}    0.49{col 50}{space 3}0.621{col 58}{space 4}-.2677836{col 71}{space 3} .4485533
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.2377987{col 30}{space 2} .0895838{col 41}{space 1}   -2.65{col 50}{space 3}0.008{col 58}{space 4}-.4133796{col 71}{space 3}-.0622177
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.0043115{col 30}{space 2} .0659661{col 41}{space 1}   -0.07{col 50}{space 3}0.948{col 58}{space 4}-.1336026{col 71}{space 3} .1249797
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-.1235446{col 30}{space 2} .0943017{col 41}{space 1}   -1.31{col 50}{space 3}0.190{col 58}{space 4}-.3083725{col 71}{space 3} .0612833
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} .5254812{col 30}{space 2} .1246793{col 41}{space 1}    4.21{col 50}{space 3}0.000{col 58}{space 4} .2811141{col 71}{space 3} .7698482
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 13.47963{col 30}{space 2} 2.833475{col 41}{space 1}    4.76{col 50}{space 3}0.000{col 58}{space 4} 7.926123{col 71}{space 3} 19.03314
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.859889{col 30}{space 2}    .1195{col 41}{space 1}   15.56{col 50}{space 3}0.000{col 58}{space 4} 1.625674{col 71}{space 3} 2.094105
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0118871{col 30}{space 2} .0055662{col 41}{space 1}    2.14{col 50}{space 3}0.033{col 58}{space 4} .0009775{col 71}{space 3} .0227966
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0167853{col 30}{space 2} .0055324{col 41}{space 1}    3.03{col 50}{space 3}0.002{col 58}{space 4} .0059421{col 71}{space 3} .0276286
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0276135{col 30}{space 2} .0096067{col 41}{space 1}   -2.87{col 50}{space 3}0.004{col 58}{space 4}-.0464422{col 71}{space 3}-.0087848
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .3226907{col 30}{space 2} .0791109{col 41}{space 1}    4.08{col 50}{space 3}0.000{col 58}{space 4} .1676362{col 71}{space 3} .4777452
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0119323{col 30}{space 2} .0138465{col 41}{space 1}   -0.86{col 50}{space 3}0.389{col 58}{space 4}-.0390708{col 71}{space 3} .0152063
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 1.230707{col 30}{space 2} .1342341{col 41}{space 1}    9.17{col 50}{space 3}0.000{col 58}{space 4}  .967613{col 71}{space 3} 1.493801
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.1393016{col 30}{space 2} .0160338{col 41}{space 1}   -8.69{col 50}{space 3}0.000{col 58}{space 4}-.1707272{col 71}{space 3} -.107876
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0081805{col 30}{space 2} .0012249{col 41}{space 1}    6.68{col 50}{space 3}0.000{col 58}{space 4} .0057798{col 71}{space 3} .0105813
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0001537{col 30}{space 2} .0000278{col 41}{space 1}   -5.53{col 50}{space 3}0.000{col 58}{space 4}-.0002082{col 71}{space 3}-.0000992
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-4.292575{col 30}{space 2} .3929769{col 41}{space 1}  -10.92{col 50}{space 3}0.000{col 58}{space 4}-5.062795{col 71}{space 3}-3.522354
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /athrho {c |}{col 18}{res}{space 2} .6229124{col 30}{space 2} .2398429{col 41}{space 1}    2.60{col 50}{space 3}0.009{col 58}{space 4}  .152829{col 71}{space 3} 1.092996
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             rho{col 18}{c |}{res}{space 2} .5531526{col 30}{space 2} .1664563{col 58}{space 4} .1516501{col 71}{space 3}  .797969
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    6.75   {txt}Prob > chi2 = {res}0.0094
{txt}
{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7161.6899}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5213.8406}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4442.4627}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4376.7656}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4376.3554}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4376.3552}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    630850
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}   2597.44
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4376.3552{txt}{col 51}Pseudo R2{col 67}= {res}    0.3889

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.3886543{col 30}{space 2} .3155414{col 41}{space 1}   -1.23{col 50}{space 3}0.218{col 58}{space 4}-1.007104{col 71}{space 3} .2297955
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-1.000327{col 30}{space 2} .3594976{col 41}{space 1}   -2.78{col 50}{space 3}0.005{col 58}{space 4}-1.704929{col 71}{space 3}-.2957248
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .3114193{col 30}{space 2}  .388201{col 41}{space 1}    0.80{col 50}{space 3}0.422{col 58}{space 4}-.4494406{col 71}{space 3} 1.072279
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 2.222533{col 30}{space 2} .6606962{col 41}{space 1}    3.36{col 50}{space 3}0.001{col 58}{space 4} .9275925{col 71}{space 3} 3.517474
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .0336767{col 30}{space 2}  .451926{col 41}{space 1}    0.07{col 50}{space 3}0.941{col 58}{space 4} -.852082{col 71}{space 3} .9194354
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.5785885{col 30}{space 2} .3100526{col 41}{space 1}   -1.87{col 50}{space 3}0.062{col 58}{space 4} -1.18628{col 71}{space 3} .0291034
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.1334859{col 30}{space 2} .1565763{col 41}{space 1}   -0.85{col 50}{space 3}0.394{col 58}{space 4}-.4403698{col 71}{space 3}  .173398
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2} -.320968{col 30}{space 2} .2682548{col 41}{space 1}   -1.20{col 50}{space 3}0.231{col 58}{space 4}-.8467378{col 71}{space 3} .2048017
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2}  1.53737{col 30}{space 2} .4105589{col 41}{space 1}    3.74{col 50}{space 3}0.000{col 58}{space 4} .7326888{col 71}{space 3}  2.34205
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 28.81811{col 30}{space 2} 5.599118{col 41}{space 1}    5.15{col 50}{space 3}0.000{col 58}{space 4} 17.84404{col 71}{space 3} 39.79218
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 4.785339{col 30}{space 2} .3295352{col 41}{space 1}   14.52{col 50}{space 3}0.000{col 58}{space 4} 4.139461{col 71}{space 3} 5.431216
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}  .039316{col 30}{space 2} .0178766{col 41}{space 1}    2.20{col 50}{space 3}0.028{col 58}{space 4} .0042784{col 71}{space 3} .0743536
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0558499{col 30}{space 2} .0178761{col 41}{space 1}    3.12{col 50}{space 3}0.002{col 58}{space 4} .0208134{col 71}{space 3} .0908863
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0938597{col 30}{space 2} .0221366{col 41}{space 1}   -4.24{col 50}{space 3}0.000{col 58}{space 4}-.1372466{col 71}{space 3}-.0504728
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .7261337{col 30}{space 2} .2308847{col 41}{space 1}    3.15{col 50}{space 3}0.002{col 58}{space 4} .2736081{col 71}{space 3} 1.178659
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0655269{col 30}{space 2} .0423319{col 41}{space 1}   -1.55{col 50}{space 3}0.122{col 58}{space 4} -.148496{col 71}{space 3} .0174422
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 2.842423{col 30}{space 2} .5313356{col 41}{space 1}    5.35{col 50}{space 3}0.000{col 58}{space 4} 1.801025{col 71}{space 3} 3.883822
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.3505429{col 30}{space 2} .0455702{col 41}{space 1}   -7.69{col 50}{space 3}0.000{col 58}{space 4}-.4398587{col 71}{space 3} -.261227
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0209677{col 30}{space 2} .0033899{col 41}{space 1}    6.19{col 50}{space 3}0.000{col 58}{space 4} .0143236{col 71}{space 3} .0276118
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0004008{col 30}{space 2} .0000763{col 41}{space 1}   -5.25{col 50}{space 3}0.000{col 58}{space 4}-.0005504{col 71}{space 3}-.0002513
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-10.77797{col 30}{space 2} 1.327585{col 41}{space 1}   -8.12{col 50}{space 3}0.000{col 58}{space 4}-13.37999{col 71}{space 3}-8.175948
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -596.2954}  
Iteration 1:{space 3}log pseudolikelihood = {res:-524.44239}  
Iteration 2:{space 3}log pseudolikelihood = {res:-522.81231}  
Iteration 3:{space 3}log pseudolikelihood = {res:-522.80998}  
Iteration 4:{space 3}log pseudolikelihood = {res:-522.80998}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       956
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}     70.49
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-522.80998{txt}{col 51}Pseudo R2{col 67}= {res}    0.1232

{txt}{ralign 82:(Std. Err. adjusted for {res:273} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      imposition{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2} .3972508{col 30}{space 2} .7099919{col 41}{space 1}    0.56{col 50}{space 3}0.576{col 58}{space 4}-.9943077{col 71}{space 3} 1.788809
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2} .4250345{col 30}{space 2} .8224697{col 41}{space 1}    0.52{col 50}{space 3}0.605{col 58}{space 4}-1.186977{col 71}{space 3} 2.037046
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .2894992{col 30}{space 2} .5837902{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4}-.8547085{col 71}{space 3} 1.433707
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2}-1.405145{col 30}{space 2}  1.45466{col 41}{space 1}   -0.97{col 50}{space 3}0.334{col 58}{space 4}-4.256226{col 71}{space 3} 1.445937
{txt}{space 13}BIT {c |}{col 18}{res}{space 2}-.0553769{col 30}{space 2}  1.01029{col 41}{space 1}   -0.05{col 50}{space 3}0.956{col 58}{space 4}-2.035508{col 71}{space 3} 1.924754
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-2.002495{col 30}{space 2} .7155391{col 41}{space 1}   -2.80{col 50}{space 3}0.005{col 58}{space 4}-3.404926{col 71}{space 3}-.6000644
{txt}{space 13}WTO {c |}{col 18}{res}{space 2} .5454044{col 30}{space 2} .2794375{col 41}{space 1}    1.95{col 50}{space 3}0.051{col 58}{space 4} -.002283{col 71}{space 3} 1.093092
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2}-1.316942{col 30}{space 2} .3578431{col 41}{space 1}   -3.68{col 50}{space 3}0.000{col 58}{space 4}-2.018302{col 71}{space 3}-.6155829
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2} 1.095538{col 30}{space 2} .4057681{col 41}{space 1}    2.70{col 50}{space 3}0.007{col 58}{space 4} .3002468{col 71}{space 3} 1.890829
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2}-5.071149{col 30}{space 2}  8.29441{col 41}{space 1}   -0.61{col 50}{space 3}0.541{col 58}{space 4}-21.32789{col 71}{space 3}  11.1856
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 1.229298{col 30}{space 2} .3787396{col 41}{space 1}    3.25{col 50}{space 3}0.001{col 58}{space 4} .4869824{col 71}{space 3} 1.971614
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2} .0081832{col 30}{space 2} .0255536{col 41}{space 1}    0.32{col 50}{space 3}0.749{col 58}{space 4}-.0419009{col 71}{space 3} .0582673
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0640442{col 30}{space 2} .0260445{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0129979{col 71}{space 3} .1150905
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2} .0405793{col 30}{space 2} .0358691{col 41}{space 1}    1.13{col 50}{space 3}0.258{col 58}{space 4}-.0297229{col 71}{space 3} .1108816
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2}-.2477834{col 30}{space 2}  .317747{col 41}{space 1}   -0.78{col 50}{space 3}0.436{col 58}{space 4}-.8705561{col 71}{space 3} .3749892
{txt}{space 8}capratio {c |}{col 18}{res}{space 2} -.227227{col 30}{space 2} .0684976{col 41}{space 1}   -3.32{col 50}{space 3}0.001{col 58}{space 4}-.3614799{col 71}{space 3}-.0929741
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2}-.3982884{col 30}{space 2} .3974465{col 41}{space 1}   -1.00{col 50}{space 3}0.316{col 58}{space 4}-1.177269{col 71}{space 3} .3806925
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-2.737639{col 30}{space 2} 1.007818{col 41}{space 1}   -2.72{col 50}{space 3}0.007{col 58}{space 4}-4.712926{col 71}{space 3}-.7623522
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7161.6899}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5213.8406}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4442.4627}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4376.7656}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4376.3554}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4376.3552}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    630850
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}   2597.44
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4376.3552{txt}{col 51}Pseudo R2{col 67}= {res}    0.3889

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.3886543{col 30}{space 2} .3155414{col 41}{space 1}   -1.23{col 50}{space 3}0.218{col 58}{space 4}-1.007104{col 71}{space 3} .2297955
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-1.000327{col 30}{space 2} .3594976{col 41}{space 1}   -2.78{col 50}{space 3}0.005{col 58}{space 4}-1.704929{col 71}{space 3}-.2957248
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .3114193{col 30}{space 2}  .388201{col 41}{space 1}    0.80{col 50}{space 3}0.422{col 58}{space 4}-.4494406{col 71}{space 3} 1.072279
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 2.222533{col 30}{space 2} .6606962{col 41}{space 1}    3.36{col 50}{space 3}0.001{col 58}{space 4} .9275925{col 71}{space 3} 3.517474
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .0336767{col 30}{space 2}  .451926{col 41}{space 1}    0.07{col 50}{space 3}0.941{col 58}{space 4} -.852082{col 71}{space 3} .9194354
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.5785885{col 30}{space 2} .3100526{col 41}{space 1}   -1.87{col 50}{space 3}0.062{col 58}{space 4} -1.18628{col 71}{space 3} .0291034
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.1334859{col 30}{space 2} .1565763{col 41}{space 1}   -0.85{col 50}{space 3}0.394{col 58}{space 4}-.4403698{col 71}{space 3}  .173398
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2} -.320968{col 30}{space 2} .2682548{col 41}{space 1}   -1.20{col 50}{space 3}0.231{col 58}{space 4}-.8467378{col 71}{space 3} .2048017
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2}  1.53737{col 30}{space 2} .4105589{col 41}{space 1}    3.74{col 50}{space 3}0.000{col 58}{space 4} .7326888{col 71}{space 3}  2.34205
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 28.81811{col 30}{space 2} 5.599118{col 41}{space 1}    5.15{col 50}{space 3}0.000{col 58}{space 4} 17.84404{col 71}{space 3} 39.79218
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 4.785339{col 30}{space 2} .3295352{col 41}{space 1}   14.52{col 50}{space 3}0.000{col 58}{space 4} 4.139461{col 71}{space 3} 5.431216
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}  .039316{col 30}{space 2} .0178766{col 41}{space 1}    2.20{col 50}{space 3}0.028{col 58}{space 4} .0042784{col 71}{space 3} .0743536
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0558499{col 30}{space 2} .0178761{col 41}{space 1}    3.12{col 50}{space 3}0.002{col 58}{space 4} .0208134{col 71}{space 3} .0908863
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0938597{col 30}{space 2} .0221366{col 41}{space 1}   -4.24{col 50}{space 3}0.000{col 58}{space 4}-.1372466{col 71}{space 3}-.0504728
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .7261337{col 30}{space 2} .2308847{col 41}{space 1}    3.15{col 50}{space 3}0.002{col 58}{space 4} .2736081{col 71}{space 3} 1.178659
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0655269{col 30}{space 2} .0423319{col 41}{space 1}   -1.55{col 50}{space 3}0.122{col 58}{space 4} -.148496{col 71}{space 3} .0174422
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 2.842423{col 30}{space 2} .5313356{col 41}{space 1}    5.35{col 50}{space 3}0.000{col 58}{space 4} 1.801025{col 71}{space 3} 3.883822
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.3505429{col 30}{space 2} .0455702{col 41}{space 1}   -7.69{col 50}{space 3}0.000{col 58}{space 4}-.4398587{col 71}{space 3} -.261227
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0209677{col 30}{space 2} .0033899{col 41}{space 1}    6.19{col 50}{space 3}0.000{col 58}{space 4} .0143236{col 71}{space 3} .0276118
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0004008{col 30}{space 2} .0000763{col 41}{space 1}   -5.25{col 50}{space 3}0.000{col 58}{space 4}-.0005504{col 71}{space 3}-.0002513
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-10.77797{col 30}{space 2} 1.327585{col 41}{space 1}   -8.12{col 50}{space 3}0.000{col 58}{space 4}-13.37999{col 71}{space 3}-8.175948
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal  MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-280.05045}  
Iteration 1:{space 3}log pseudolikelihood = {res:-188.62425}  
Iteration 2:{space 3}log pseudolikelihood = {res:-164.61197}  
Iteration 3:{space 3}log pseudolikelihood = {res:-159.17643}  
Iteration 4:{space 3}log pseudolikelihood = {res:-158.72494}  
Iteration 5:{space 3}log pseudolikelihood = {res:-158.71692}  
Iteration 6:{space 3}log pseudolikelihood = {res:-158.71691}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       618
{txt}{col 51}Wald chi2({res}24{txt}){col 67}= {res}     59.40
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-158.71691{txt}{col 51}Pseudo R2{col 67}= {res}    0.4333

{txt}{ralign 92:(Std. Err. adjusted for {res:206} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}sMyWNeoDummy {c |}{col 28}{res}{space 2}-.8416952{col 40}{space 2} 1.005777{col 51}{space 1}   -0.84{col 60}{space 3}0.403{col 68}{space 4}-2.812981{col 81}{space 3} 1.129591
{txt}{space 14}tMyWNeoDummy {c |}{col 28}{res}{space 2} .7812279{col 40}{space 2} 1.097395{col 51}{space 1}    0.71{col 60}{space 3}0.477{col 68}{space 4}-1.369628{col 81}{space 3} 2.932084
{txt}{space 11}MyDyadWNeoDummy {c |}{col 28}{res}{space 2} .5471168{col 40}{space 2} 1.409221{col 51}{space 1}    0.39{col 60}{space 3}0.698{col 68}{space 4}-2.214906{col 81}{space 3}  3.30914
{txt}{space 10}TestMyNeoliberal {c |}{col 28}{res}{space 2}  .745697{col 40}{space 2} 2.089679{col 51}{space 1}    0.36{col 60}{space 3}0.721{col 68}{space 4}-3.349999{col 81}{space 3} 4.841393
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.489031{col 40}{space 2} 1.166436{col 51}{space 1}    2.13{col 60}{space 3}0.033{col 68}{space 4} .2028587{col 81}{space 3} 4.775203
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .4608646{col 40}{space 2} .7561828{col 51}{space 1}    0.61{col 60}{space 3}0.542{col 68}{space 4}-1.021227{col 81}{space 3} 1.942956
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.192652{col 40}{space 2} 1.045485{col 51}{space 1}   -1.14{col 60}{space 3}0.254{col 68}{space 4}-3.241765{col 81}{space 3} .8564598
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-3.034102{col 40}{space 2} .9353164{col 51}{space 1}   -3.24{col 60}{space 3}0.001{col 68}{space 4}-4.867289{col 81}{space 3}-1.200916
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.711063{col 40}{space 2} 1.206624{col 51}{space 1}   -1.42{col 60}{space 3}0.156{col 68}{space 4}-4.076003{col 81}{space 3} .6538775
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.126711{col 40}{space 2} .8882245{col 51}{space 1}    1.27{col 60}{space 3}0.205{col 68}{space 4}-.6141767{col 81}{space 3} 2.867599
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0147449{col 40}{space 2} .0775163{col 51}{space 1}    0.19{col 60}{space 3}0.849{col 68}{space 4}-.1371842{col 81}{space 3} .1666741
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0297847{col 40}{space 2} .1208477{col 51}{space 1}    0.25{col 60}{space 3}0.805{col 68}{space 4}-.2070724{col 81}{space 3} .2666419
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.2328549{col 40}{space 2} 1.059257{col 51}{space 1}   -0.22{col 60}{space 3}0.826{col 68}{space 4} -2.30896{col 81}{space 3}  1.84325
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.8441279{col 40}{space 2}  1.19225{col 51}{space 1}   -0.71{col 60}{space 3}0.479{col 68}{space 4}-3.180894{col 81}{space 3} 1.492638
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.153579{col 40}{space 2} 1.136175{col 51}{space 1}    1.90{col 60}{space 3}0.058{col 68}{space 4}-.0732825{col 81}{space 3}  4.38044
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.651967{col 40}{space 2} 1.082494{col 51}{space 1}    1.53{col 60}{space 3}0.127{col 68}{space 4}-.4696821{col 81}{space 3} 3.773615
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-261.5575{col 40}{space 2} 260.4625{col 51}{space 1}   -1.00{col 60}{space 3}0.315{col 68}{space 4}-772.0547{col 81}{space 3} 248.9396
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.2234714{col 40}{space 2} 1.022118{col 51}{space 1}   -0.22{col 60}{space 3}0.827{col 68}{space 4}-2.226787{col 81}{space 3} 1.779844
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .2013653{col 40}{space 2} .1382225{col 51}{space 1}    1.46{col 60}{space 3}0.145{col 68}{space 4}-.0695457{col 81}{space 3} .4722763
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0966578{col 40}{space 2}  .089351{col 51}{space 1}   -1.08{col 60}{space 3}0.279{col 68}{space 4}-.2717825{col 81}{space 3} .0784669
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0600412{col 40}{space 2}  .082014{col 51}{space 1}   -0.73{col 60}{space 3}0.464{col 68}{space 4}-.2207857{col 81}{space 3} .1007034
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .2032086{col 40}{space 2} .7156701{col 51}{space 1}    0.28{col 60}{space 3}0.776{col 68}{space 4}-1.199479{col 81}{space 3} 1.605896
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2745304{col 40}{space 2} .1425335{col 51}{space 1}    1.93{col 60}{space 3}0.054{col 68}{space 4}-.0048302{col 81}{space 3}  .553891
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.6715412{col 40}{space 2}  .724885{col 51}{space 1}   -0.93{col 60}{space 3}0.354{col 68}{space 4} -2.09229{col 81}{space 3} .7492072
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-10.09829{col 40}{space 2}  3.22471{col 51}{space 1}   -3.13{col 60}{space 3}0.002{col 68}{space 4}-16.41861{col 81}{space 3}-3.777977
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7161.6899}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5213.8406}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4442.4627}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4376.7656}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4376.3554}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4376.3552}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    630850
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}   2597.44
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4376.3552{txt}{col 51}Pseudo R2{col 67}= {res}    0.3889

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.3886543{col 30}{space 2} .3155414{col 41}{space 1}   -1.23{col 50}{space 3}0.218{col 58}{space 4}-1.007104{col 71}{space 3} .2297955
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-1.000327{col 30}{space 2} .3594976{col 41}{space 1}   -2.78{col 50}{space 3}0.005{col 58}{space 4}-1.704929{col 71}{space 3}-.2957248
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .3114193{col 30}{space 2}  .388201{col 41}{space 1}    0.80{col 50}{space 3}0.422{col 58}{space 4}-.4494406{col 71}{space 3} 1.072279
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 2.222533{col 30}{space 2} .6606962{col 41}{space 1}    3.36{col 50}{space 3}0.001{col 58}{space 4} .9275925{col 71}{space 3} 3.517474
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .0336767{col 30}{space 2}  .451926{col 41}{space 1}    0.07{col 50}{space 3}0.941{col 58}{space 4} -.852082{col 71}{space 3} .9194354
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.5785885{col 30}{space 2} .3100526{col 41}{space 1}   -1.87{col 50}{space 3}0.062{col 58}{space 4} -1.18628{col 71}{space 3} .0291034
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.1334859{col 30}{space 2} .1565763{col 41}{space 1}   -0.85{col 50}{space 3}0.394{col 58}{space 4}-.4403698{col 71}{space 3}  .173398
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2} -.320968{col 30}{space 2} .2682548{col 41}{space 1}   -1.20{col 50}{space 3}0.231{col 58}{space 4}-.8467378{col 71}{space 3} .2048017
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2}  1.53737{col 30}{space 2} .4105589{col 41}{space 1}    3.74{col 50}{space 3}0.000{col 58}{space 4} .7326888{col 71}{space 3}  2.34205
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 28.81811{col 30}{space 2} 5.599118{col 41}{space 1}    5.15{col 50}{space 3}0.000{col 58}{space 4} 17.84404{col 71}{space 3} 39.79218
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 4.785339{col 30}{space 2} .3295352{col 41}{space 1}   14.52{col 50}{space 3}0.000{col 58}{space 4} 4.139461{col 71}{space 3} 5.431216
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}  .039316{col 30}{space 2} .0178766{col 41}{space 1}    2.20{col 50}{space 3}0.028{col 58}{space 4} .0042784{col 71}{space 3} .0743536
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0558499{col 30}{space 2} .0178761{col 41}{space 1}    3.12{col 50}{space 3}0.002{col 58}{space 4} .0208134{col 71}{space 3} .0908863
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0938597{col 30}{space 2} .0221366{col 41}{space 1}   -4.24{col 50}{space 3}0.000{col 58}{space 4}-.1372466{col 71}{space 3}-.0504728
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .7261337{col 30}{space 2} .2308847{col 41}{space 1}    3.15{col 50}{space 3}0.002{col 58}{space 4} .2736081{col 71}{space 3} 1.178659
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0655269{col 30}{space 2} .0423319{col 41}{space 1}   -1.55{col 50}{space 3}0.122{col 58}{space 4} -.148496{col 71}{space 3} .0174422
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 2.842423{col 30}{space 2} .5313356{col 41}{space 1}    5.35{col 50}{space 3}0.000{col 58}{space 4} 1.801025{col 71}{space 3} 3.883822
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.3505429{col 30}{space 2} .0455702{col 41}{space 1}   -7.69{col 50}{space 3}0.000{col 58}{space 4}-.4398587{col 71}{space 3} -.261227
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0209677{col 30}{space 2} .0033899{col 41}{space 1}    6.19{col 50}{space 3}0.000{col 58}{space 4} .0143236{col 71}{space 3} .0276118
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0004008{col 30}{space 2} .0000763{col 41}{space 1}   -5.25{col 50}{space 3}0.000{col 58}{space 4}-.0005504{col 71}{space 3}-.0002513
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-10.77797{col 30}{space 2} 1.327585{col 41}{space 1}   -8.12{col 50}{space 3}0.000{col 58}{space 4}-13.37999{col 71}{space 3}-8.175948
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal  MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: MyDyadWNeoDummy != 0 predicts failure perfectly
      MyDyadWNeoDummy dropped and 19 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 3 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-348.64371}  
Iteration 1:{space 3}log pseudolikelihood = {res:-260.60326}  
Iteration 2:{space 3}log pseudolikelihood = {res:-254.64676}  
Iteration 3:{space 3}log pseudolikelihood = {res:-254.50117}  
Iteration 4:{space 3}log pseudolikelihood = {res:-254.50096}  
Iteration 5:{space 3}log pseudolikelihood = {res:-254.50096}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       599
{txt}{col 51}Wald chi2({res}23{txt}){col 67}= {res}     72.32
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-254.50096{txt}{col 51}Pseudo R2{col 67}= {res}    0.2700

{txt}{ralign 92:(Std. Err. adjusted for {res:202} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}sMyWNeoDummy {c |}{col 28}{res}{space 2} -1.49592{col 40}{space 2} .9923897{col 51}{space 1}   -1.51{col 60}{space 3}0.132{col 68}{space 4}-3.440968{col 81}{space 3} .4491282
{txt}{space 14}tMyWNeoDummy {c |}{col 28}{res}{space 2}-.4732835{col 40}{space 2} 1.019902{col 51}{space 1}   -0.46{col 60}{space 3}0.643{col 68}{space 4}-2.472254{col 81}{space 3} 1.525687
{txt}{space 11}MyDyadWNeoDummy {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 10}TestMyNeoliberal {c |}{col 28}{res}{space 2}  1.63451{col 40}{space 2} 1.762232{col 51}{space 1}    0.93{col 60}{space 3}0.354{col 68}{space 4}-1.819401{col 81}{space 3}  5.08842
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.173688{col 40}{space 2} 1.021907{col 51}{space 1}   -1.15{col 60}{space 3}0.251{col 68}{space 4}-3.176589{col 81}{space 3} .8292141
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .0596061{col 40}{space 2} .5070276{col 51}{space 1}    0.12{col 60}{space 3}0.906{col 68}{space 4}-.9341498{col 81}{space 3} 1.053362
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.023041{col 40}{space 2} .8585682{col 51}{space 1}    2.36{col 60}{space 3}0.018{col 68}{space 4} .3402786{col 81}{space 3} 3.705804
{txt}{space 24}3  {c |}{col 28}{res}{space 2}  .547185{col 40}{space 2} .6191004{col 51}{space 1}    0.88{col 60}{space 3}0.377{col 68}{space 4}-.6662294{col 81}{space 3} 1.760599
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.309217{col 40}{space 2} 1.018898{col 51}{space 1}    3.25{col 60}{space 3}0.001{col 68}{space 4} 1.312213{col 81}{space 3}  5.30622
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.5048273{col 40}{space 2} .8185477{col 51}{space 1}   -0.62{col 60}{space 3}0.537{col 68}{space 4}-2.109151{col 81}{space 3} 1.099497
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0996587{col 40}{space 2} .0774382{col 51}{space 1}   -1.29{col 60}{space 3}0.198{col 68}{space 4}-.2514349{col 81}{space 3} .0521174
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.1003395{col 40}{space 2} .1010361{col 51}{space 1}   -0.99{col 60}{space 3}0.321{col 68}{space 4}-.2983666{col 81}{space 3} .0976876
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .4745108{col 40}{space 2} .7026396{col 51}{space 1}    0.68{col 60}{space 3}0.499{col 68}{space 4}-.9026376{col 81}{space 3} 1.851659
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .3644842{col 40}{space 2} .5639608{col 51}{space 1}    0.65{col 60}{space 3}0.518{col 68}{space 4}-.7408586{col 81}{space 3} 1.469827
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} .8241259{col 40}{space 2} .7528257{col 51}{space 1}    1.09{col 60}{space 3}0.274{col 68}{space 4}-.6513854{col 81}{space 3} 2.299637
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.4161206{col 40}{space 2}   .58248{col 51}{space 1}   -0.71{col 60}{space 3}0.475{col 68}{space 4} -1.55776{col 81}{space 3} .7255192
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}  -.78752{col 40}{space 2} 27.16346{col 51}{space 1}   -0.03{col 60}{space 3}0.977{col 68}{space 4}-54.02693{col 81}{space 3} 52.45189
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.813363{col 40}{space 2} .4583915{col 51}{space 1}   -3.96{col 60}{space 3}0.000{col 68}{space 4}-2.711794{col 81}{space 3}-.9149318
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0743113{col 40}{space 2}  .044115{col 51}{space 1}   -1.68{col 60}{space 3}0.092{col 68}{space 4} -.160775{col 81}{space 3} .0121524
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0219018{col 40}{space 2} .0460831{col 51}{space 1}   -0.48{col 60}{space 3}0.635{col 68}{space 4}-.1122231{col 81}{space 3} .0684194
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0457692{col 40}{space 2} .0591023{col 51}{space 1}   -0.77{col 60}{space 3}0.439{col 68}{space 4}-.1616074{col 81}{space 3} .0700691
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} -.538658{col 40}{space 2} .4587878{col 51}{space 1}   -1.17{col 60}{space 3}0.240{col 68}{space 4}-1.437866{col 81}{space 3} .3605495
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .3088287{col 40}{space 2}  .090259{col 51}{space 1}    3.42{col 60}{space 3}0.001{col 68}{space 4} .1319243{col 81}{space 3} .4857331
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.0921743{col 40}{space 2} .5773085{col 51}{space 1}   -0.16{col 60}{space 3}0.873{col 68}{space 4}-1.223678{col 81}{space 3}  1.03933
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.662215{col 40}{space 2} 1.841527{col 51}{space 1}    0.90{col 60}{space 3}0.367{col 68}{space 4}-1.947112{col 81}{space 3} 5.271542
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table1 , word label title(Table 1: Elite University Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table1.rtf"'"':Table1.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table1.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 2****
. *Models 1 and 2*
. heckprob imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.59105}  
Iteration 1:{space 3}log pseudolikelihood = {res:-559.94235}  
Iteration 2:{space 3}log pseudolikelihood = {res:-559.44528}  
Iteration 3:{space 3}log pseudolikelihood = {res: -559.4451}  
Iteration 4:{space 3}log pseudolikelihood = {res: -559.4451}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7772.9854}  
Iteration 1:{space 3}log pseudolikelihood = {res: -6413.793}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4811.4346}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4787.0326}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4786.9543}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4786.9543}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -724.3388}  
Iteration 1:{space 3}log pseudolikelihood = {res: -558.6373}  
Iteration 2:{space 3}log pseudolikelihood = {res: -557.1492}  
Iteration 3:{space 3}log pseudolikelihood = {res:-557.14607}  
Iteration 4:{space 3}log pseudolikelihood = {res:-557.14607}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5345.6723}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5344.0722}  
Iteration 2:{space 3}log pseudolikelihood = {res:-5344.0561}  
Iteration 3:{space 3}log pseudolikelihood = {res:-5344.0548}  
Iteration 4:{space 3}log pseudolikelihood = {res:-5344.0548}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   653982
{txt}                                                Censored obs       = {res}   652937
                                                {txt}Uncensored obs     = {res}     1045

                                                {txt}Wald chi2({res}15{txt})      = {res}   152.86
{txt}Log pseudolikelihood = {res}-5344.055                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.4352747{col 29}{space 2} .1024418{col 40}{space 1}   -4.25{col 49}{space 3}0.000{col 57}{space 4}-.6360569{col 70}{space 3}-.2344925
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.0395072{col 29}{space 2} .0979244{col 40}{space 1}   -0.40{col 49}{space 3}0.687{col 57}{space 4}-.2314356{col 70}{space 3} .1524212
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3865684{col 29}{space 2} .4645901{col 40}{space 1}    0.83{col 49}{space 3}0.405{col 57}{space 4}-.5240114{col 70}{space 3} 1.297148
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-1.216724{col 29}{space 2} .4019739{col 40}{space 1}   -3.03{col 49}{space 3}0.002{col 57}{space 4}-2.004578{col 70}{space 3}-.4288694
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3429992{col 29}{space 2} .1421232{col 40}{space 1}    2.41{col 49}{space 3}0.016{col 57}{space 4} .0644428{col 70}{space 3} .6215556
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2} -.800256{col 29}{space 2} .1943113{col 40}{space 1}   -4.12{col 49}{space 3}0.000{col 57}{space 4}-1.181099{col 70}{space 3}-.4194129
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .8076461{col 29}{space 2} .2167654{col 40}{space 1}    3.73{col 49}{space 3}0.000{col 57}{space 4} .3827937{col 70}{space 3} 1.232498
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 1.733227{col 29}{space 2} 5.901118{col 40}{space 1}    0.29{col 49}{space 3}0.769{col 57}{space 4}-9.832751{col 70}{space 3} 13.29921
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.517368{col 29}{space 2} .3232991{col 40}{space 1}    4.69{col 49}{space 3}0.000{col 57}{space 4} .8837133{col 70}{space 3} 2.151022
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0092919{col 29}{space 2}  .013634{col 40}{space 1}    0.68{col 49}{space 3}0.496{col 57}{space 4}-.0174302{col 70}{space 3}  .036014
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0420089{col 29}{space 2}  .013516{col 40}{space 1}    3.11{col 49}{space 3}0.002{col 57}{space 4}  .015518{col 70}{space 3} .0684998
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0131812{col 29}{space 2} .0175308{col 40}{space 1}    0.75{col 49}{space 3}0.452{col 57}{space 4}-.0211784{col 70}{space 3} .0475409
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0027079{col 29}{space 2} .1712464{col 40}{space 1}   -0.02{col 49}{space 3}0.987{col 57}{space 4}-.3383446{col 70}{space 3} .3329289
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1275166{col 29}{space 2}  .038102{col 40}{space 1}   -3.35{col 49}{space 3}0.001{col 57}{space 4}-.2021952{col 70}{space 3} -.052838
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .3009128{col 29}{space 2} .3147044{col 40}{space 1}    0.96{col 49}{space 3}0.339{col 57}{space 4}-.3158965{col 70}{space 3} .9177221
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -3.58317{col 29}{space 2} .9169733{col 40}{space 1}   -3.91{col 49}{space 3}0.000{col 57}{space 4}-5.380404{col 70}{space 3}-1.785935
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.0825256{col 29}{space 2} .0428004{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}-.1664128{col 70}{space 3} .0013617
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.1076868{col 29}{space 2} .0437619{col 40}{space 1}   -2.46{col 49}{space 3}0.014{col 57}{space 4}-.1934586{col 70}{space 3}-.0219151
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1041861{col 29}{space 2} .1650422{col 40}{space 1}    0.63{col 49}{space 3}0.528{col 57}{space 4}-.2192907{col 70}{space 3} .4276628
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.2213346{col 29}{space 2}   .08881{col 40}{space 1}   -2.49{col 49}{space 3}0.013{col 57}{space 4}-.3953989{col 70}{space 3}-.0472702
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0128473{col 29}{space 2}  .062209{col 40}{space 1}   -0.21{col 49}{space 3}0.836{col 57}{space 4}-.1347748{col 70}{space 3} .1090801
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.1077365{col 29}{space 2} .0956322{col 40}{space 1}   -1.13{col 49}{space 3}0.260{col 57}{space 4}-.2951722{col 70}{space 3} .0796991
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .5337588{col 29}{space 2} .1286536{col 40}{space 1}    4.15{col 49}{space 3}0.000{col 57}{space 4} .2816023{col 70}{space 3} .7859152
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 13.48929{col 29}{space 2} 2.983515{col 40}{space 1}    4.52{col 49}{space 3}0.000{col 57}{space 4} 7.641703{col 70}{space 3} 19.33687
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.935287{col 29}{space 2} .1183303{col 40}{space 1}   16.35{col 49}{space 3}0.000{col 57}{space 4} 1.703364{col 70}{space 3}  2.16721
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0164134{col 29}{space 2} .0056751{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} .0052903{col 70}{space 3} .0275364
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0188348{col 29}{space 2} .0055244{col 40}{space 1}    3.41{col 49}{space 3}0.001{col 57}{space 4} .0080071{col 70}{space 3} .0296625
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0223192{col 29}{space 2} .0092117{col 40}{space 1}   -2.42{col 49}{space 3}0.015{col 57}{space 4}-.0403738{col 70}{space 3}-.0042647
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .3160437{col 29}{space 2} .0802373{col 40}{space 1}    3.94{col 49}{space 3}0.000{col 57}{space 4} .1587815{col 70}{space 3} .4733058
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0158713{col 29}{space 2} .0136695{col 40}{space 1}   -1.16{col 49}{space 3}0.246{col 57}{space 4}-.0426629{col 70}{space 3} .0109204
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.235809{col 29}{space 2} .1352254{col 40}{space 1}    9.14{col 49}{space 3}0.000{col 57}{space 4} .9707724{col 70}{space 3} 1.500846
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.1361439{col 29}{space 2} .0151234{col 40}{space 1}   -9.00{col 49}{space 3}0.000{col 57}{space 4}-.1657852{col 70}{space 3}-.1065027
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0082066{col 29}{space 2} .0011571{col 40}{space 1}    7.09{col 49}{space 3}0.000{col 57}{space 4} .0059386{col 70}{space 3} .0104745
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0001528{col 29}{space 2} .0000261{col 40}{space 1}   -5.86{col 49}{space 3}0.000{col 57}{space 4} -.000204{col 70}{space 3}-.0001017
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.258735{col 29}{space 2} .4209181{col 40}{space 1}  -10.12{col 49}{space 3}0.000{col 57}{space 4} -5.08372{col 70}{space 3}-3.433751
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .4857247{col 29}{space 2} .2677119{col 40}{space 1}    1.81{col 49}{space 3}0.070{col 57}{space 4} -.038981{col 70}{space 3}  1.01043
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .4508166{col 29}{space 2} .2133033{col 57}{space 4}-.0389613{col 70}{space 3}   .76594
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    3.29   {txt}Prob > chi2 = {res}0.0696
{txt}
{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 3
. logit threat sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7772.9854}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5658.1894}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4848.8315}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4775.2206}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4774.7306}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4774.7304}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    653982
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2618.23
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4774.7304{txt}{col 51}Pseudo R2{col 67}= {res}    0.3857

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.2713491{col 29}{space 2} .1245002{col 40}{space 1}   -2.18{col 49}{space 3}0.029{col 57}{space 4} -.515365{col 70}{space 3}-.0273331
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.2376603{col 29}{space 2} .1251747{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4}-.4829983{col 70}{space 3} .0076776
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1919958{col 29}{space 2} .4073519{col 40}{space 1}    0.47{col 49}{space 3}0.637{col 57}{space 4}-.6063992{col 70}{space 3} .9903908
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5107892{col 29}{space 2} .3042982{col 40}{space 1}   -1.68{col 49}{space 3}0.093{col 57}{space 4}-1.107203{col 70}{space 3} .0856243
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .0204893{col 29}{space 2} .1567239{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.2866838{col 70}{space 3} .3276624
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3364565{col 29}{space 2} .2719078{col 40}{space 1}   -1.24{col 49}{space 3}0.216{col 57}{space 4}-.8693859{col 70}{space 3} .1964729
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2}  1.65439{col 29}{space 2} .4339952{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .8037746{col 70}{space 3} 2.505005
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 27.36397{col 29}{space 2} 5.644996{col 40}{space 1}    4.85{col 49}{space 3}0.000{col 57}{space 4} 16.29998{col 70}{space 3} 38.42796
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.967508{col 29}{space 2} .3202355{col 40}{space 1}   15.51{col 49}{space 3}0.000{col 57}{space 4} 4.339858{col 70}{space 3} 5.595158
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0535788{col 29}{space 2}  .018177{col 40}{space 1}    2.95{col 49}{space 3}0.003{col 57}{space 4} .0179526{col 70}{space 3} .0892051
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0598609{col 29}{space 2} .0178595{col 40}{space 1}    3.35{col 49}{space 3}0.001{col 57}{space 4} .0248569{col 70}{space 3} .0948648
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0809124{col 29}{space 2} .0213825{col 40}{space 1}   -3.78{col 49}{space 3}0.000{col 57}{space 4}-.1228213{col 70}{space 3}-.0390034
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .6524002{col 29}{space 2} .2299476{col 40}{space 1}    2.84{col 49}{space 3}0.005{col 57}{space 4} .2017111{col 70}{space 3} 1.103089
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0720719{col 29}{space 2} .0413775{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4}-.1531703{col 70}{space 3} .0090266
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.896965{col 29}{space 2} .5052718{col 40}{space 1}    5.73{col 49}{space 3}0.000{col 57}{space 4}  1.90665{col 70}{space 3} 3.887279
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3585361{col 29}{space 2} .0415073{col 40}{space 1}   -8.64{col 49}{space 3}0.000{col 57}{space 4}-.4398889{col 70}{space 3}-.2771834
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0224805{col 29}{space 2} .0031758{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4}  .016256{col 70}{space 3}  .028705
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004328{col 29}{space 2} .0000719{col 40}{space 1}   -6.02{col 49}{space 3}0.000{col 57}{space 4}-.0005736{col 70}{space 3}-.0002919
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-10.97251{col 29}{space 2} 1.462557{col 40}{space 1}   -7.50{col 49}{space 3}0.000{col 57}{space 4}-13.83907{col 70}{space 3}-8.105955
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.59105}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.76593}  
Iteration 2:{space 3}log pseudolikelihood = {res:-559.50988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-559.50544}  
Iteration 4:{space 3}log pseudolikelihood = {res:-559.50544}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1045
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     81.59
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-559.50544{txt}{col 51}Pseudo R2{col 67}= {res}    0.1374

{txt}{ralign 79:(Std. Err. adjusted for {res:287} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}sEdu {c |}{col 15}{res}{space 2}-.7927861{col 27}{space 2} .1953966{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-1.175756{col 68}{space 3}-.4098158
{txt}{space 9}tEdu {c |}{col 15}{res}{space 2}-.0201149{col 27}{space 2} .1825271{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-.3778616{col 68}{space 3} .3376317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .645881{col 27}{space 2} .8955011{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-1.109269{col 68}{space 3} 2.401031
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-2.043611{col 27}{space 2} .7311415{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-3.476622{col 68}{space 3}-.6105995
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .6728774{col 27}{space 2} .2556394{col 38}{space 1}    2.63{col 47}{space 3}0.008{col 55}{space 4} .1718335{col 68}{space 3} 1.173921
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.371756{col 27}{space 2} .3608965{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}  -2.0791{col 68}{space 3}-.6644115
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.103819{col 27}{space 2}  .418129{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .2843013{col 68}{space 3} 1.923337
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-4.918376{col 27}{space 2} 9.108651{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}  -22.771{col 68}{space 3} 12.93425
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.338772{col 27}{space 2}  .348097{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .6565146{col 68}{space 3}  2.02103
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} .0090639{col 27}{space 2}  .026448{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-.0427734{col 68}{space 3} .0609011
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0660349{col 27}{space 2} .0272755{col 38}{space 1}    2.42{col 47}{space 3}0.015{col 55}{space 4} .0125759{col 68}{space 3} .1194939
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0430801{col 27}{space 2} .0354867{col 38}{space 1}    1.21{col 47}{space 3}0.225{col 55}{space 4}-.0264726{col 68}{space 3} .1126328
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1926108{col 27}{space 2} .3023196{col 38}{space 1}   -0.64{col 47}{space 3}0.524{col 55}{space 4}-.7851463{col 68}{space 3} .3999248
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2275719{col 27}{space 2} .0689213{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-.3626552{col 68}{space 3}-.0924887
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2612873{col 27}{space 2}  .377889{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-1.001936{col 68}{space 3} .4793614
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.638527{col 27}{space 2} 1.057605{col 38}{space 1}   -2.49{col 47}{space 3}0.013{col 55}{space 4}-4.711396{col 68}{space 3}-.5656594
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7772.9854}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5658.1894}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4848.8315}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4775.2206}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4774.7306}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4774.7304}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    653982
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2618.23
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4774.7304{txt}{col 51}Pseudo R2{col 67}= {res}    0.3857

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.2713491{col 29}{space 2} .1245002{col 40}{space 1}   -2.18{col 49}{space 3}0.029{col 57}{space 4} -.515365{col 70}{space 3}-.0273331
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.2376603{col 29}{space 2} .1251747{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4}-.4829983{col 70}{space 3} .0076776
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1919958{col 29}{space 2} .4073519{col 40}{space 1}    0.47{col 49}{space 3}0.637{col 57}{space 4}-.6063992{col 70}{space 3} .9903908
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5107892{col 29}{space 2} .3042982{col 40}{space 1}   -1.68{col 49}{space 3}0.093{col 57}{space 4}-1.107203{col 70}{space 3} .0856243
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .0204893{col 29}{space 2} .1567239{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.2866838{col 70}{space 3} .3276624
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3364565{col 29}{space 2} .2719078{col 40}{space 1}   -1.24{col 49}{space 3}0.216{col 57}{space 4}-.8693859{col 70}{space 3} .1964729
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2}  1.65439{col 29}{space 2} .4339952{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .8037746{col 70}{space 3} 2.505005
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 27.36397{col 29}{space 2} 5.644996{col 40}{space 1}    4.85{col 49}{space 3}0.000{col 57}{space 4} 16.29998{col 70}{space 3} 38.42796
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.967508{col 29}{space 2} .3202355{col 40}{space 1}   15.51{col 49}{space 3}0.000{col 57}{space 4} 4.339858{col 70}{space 3} 5.595158
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0535788{col 29}{space 2}  .018177{col 40}{space 1}    2.95{col 49}{space 3}0.003{col 57}{space 4} .0179526{col 70}{space 3} .0892051
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0598609{col 29}{space 2} .0178595{col 40}{space 1}    3.35{col 49}{space 3}0.001{col 57}{space 4} .0248569{col 70}{space 3} .0948648
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0809124{col 29}{space 2} .0213825{col 40}{space 1}   -3.78{col 49}{space 3}0.000{col 57}{space 4}-.1228213{col 70}{space 3}-.0390034
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .6524002{col 29}{space 2} .2299476{col 40}{space 1}    2.84{col 49}{space 3}0.005{col 57}{space 4} .2017111{col 70}{space 3} 1.103089
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0720719{col 29}{space 2} .0413775{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4}-.1531703{col 70}{space 3} .0090266
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.896965{col 29}{space 2} .5052718{col 40}{space 1}    5.73{col 49}{space 3}0.000{col 57}{space 4}  1.90665{col 70}{space 3} 3.887279
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3585361{col 29}{space 2} .0415073{col 40}{space 1}   -8.64{col 49}{space 3}0.000{col 57}{space 4}-.4398889{col 70}{space 3}-.2771834
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0224805{col 29}{space 2} .0031758{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4}  .016256{col 70}{space 3}  .028705
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004328{col 29}{space 2} .0000719{col 40}{space 1}   -6.02{col 49}{space 3}0.000{col 57}{space 4}-.0005736{col 70}{space 3}-.0002919
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-10.97251{col 29}{space 2} 1.462557{col 40}{space 1}   -7.50{col 49}{space 3}0.000{col 57}{space 4}-13.83907{col 70}{space 3}-8.105955
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp sEdu tEdu MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-293.19782}  
Iteration 1:{space 3}log pseudolikelihood = {res:-202.61499}  
Iteration 2:{space 3}log pseudolikelihood = {res: -177.7866}  
Iteration 3:{space 3}log pseudolikelihood = {res:-172.23745}  
Iteration 4:{space 3}log pseudolikelihood = {res:-171.73828}  
Iteration 5:{space 3}log pseudolikelihood = {res:-171.72891}  
Iteration 6:{space 3}log pseudolikelihood = {res:-171.72891}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       664
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     70.70
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-171.72891{txt}{col 51}Pseudo R2{col 67}= {res}    0.4143

{txt}{ralign 92:(Std. Err. adjusted for {res:213} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sEdu {c |}{col 28}{res}{space 2} .0211553{col 40}{space 2}  .414848{col 51}{space 1}    0.05{col 60}{space 3}0.959{col 68}{space 4}-.7919319{col 81}{space 3} .8342424
{txt}{space 22}tEdu {c |}{col 28}{res}{space 2}-.2676008{col 40}{space 2} .3787809{col 51}{space 1}   -0.71{col 60}{space 3}0.480{col 68}{space 4}-1.009998{col 81}{space 3} .4747961
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.918489{col 40}{space 2} 1.101672{col 51}{space 1}    2.65{col 60}{space 3}0.008{col 68}{space 4} .7592519{col 81}{space 3} 5.077726
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} .1122628{col 40}{space 2} .7466218{col 51}{space 1}    0.15{col 60}{space 3}0.880{col 68}{space 4}-1.351089{col 81}{space 3} 1.575615
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.229539{col 40}{space 2}  1.12724{col 51}{space 1}   -1.09{col 60}{space 3}0.275{col 68}{space 4}-3.438889{col 81}{space 3} .9798119
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.763238{col 40}{space 2} .7859427{col 51}{space 1}   -3.52{col 60}{space 3}0.000{col 68}{space 4}-4.303658{col 81}{space 3}-1.222819
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.469059{col 40}{space 2} 1.128235{col 51}{space 1}   -1.30{col 60}{space 3}0.193{col 68}{space 4}-3.680359{col 81}{space 3} .7422412
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  1.38494{col 40}{space 2}  .866379{col 51}{space 1}    1.60{col 60}{space 3}0.110{col 68}{space 4}-.3131312{col 81}{space 3} 3.083012
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0003331{col 40}{space 2} .0780134{col 51}{space 1}    0.00{col 60}{space 3}0.997{col 68}{space 4}-.1525704{col 81}{space 3} .1532365
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .0421016{col 40}{space 2} .1225805{col 51}{space 1}    0.34{col 60}{space 3}0.731{col 68}{space 4}-.1981517{col 81}{space 3}  .282355
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-.2248256{col 40}{space 2} 1.206136{col 51}{space 1}   -0.19{col 60}{space 3}0.852{col 68}{space 4}-2.588808{col 81}{space 3} 2.139157
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.8463497{col 40}{space 2} 1.051553{col 51}{space 1}   -0.80{col 60}{space 3}0.421{col 68}{space 4}-2.907355{col 81}{space 3} 1.214656
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}  2.38115{col 40}{space 2} 1.016993{col 51}{space 1}    2.34{col 60}{space 3}0.019{col 68}{space 4} .3878802{col 81}{space 3} 4.374419
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.267345{col 40}{space 2} .8387596{col 51}{space 1}    1.51{col 60}{space 3}0.131{col 68}{space 4}-.3765937{col 81}{space 3} 2.911284
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-230.0347{col 40}{space 2} 249.7889{col 51}{space 1}   -0.92{col 60}{space 3}0.357{col 68}{space 4} -719.612{col 81}{space 3} 259.5426
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.3585476{col 40}{space 2} .8974831{col 51}{space 1}   -0.40{col 60}{space 3}0.690{col 68}{space 4}-2.117582{col 81}{space 3} 1.400487
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1991515{col 40}{space 2} .1330208{col 51}{space 1}    1.50{col 60}{space 3}0.134{col 68}{space 4}-.0615644{col 81}{space 3} .4598675
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0975512{col 40}{space 2} .0807745{col 51}{space 1}   -1.21{col 60}{space 3}0.227{col 68}{space 4}-.2558664{col 81}{space 3}  .060764
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0443486{col 40}{space 2} .0719612{col 51}{space 1}   -0.62{col 60}{space 3}0.538{col 68}{space 4}-.1853899{col 81}{space 3} .0966927
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .2248286{col 40}{space 2} .7274862{col 51}{space 1}    0.31{col 60}{space 3}0.757{col 68}{space 4}-1.201018{col 81}{space 3} 1.650675
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2237651{col 40}{space 2} .1454058{col 51}{space 1}    1.54{col 60}{space 3}0.124{col 68}{space 4}-.0612249{col 81}{space 3} .5087552
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.6853032{col 40}{space 2} .6419319{col 51}{space 1}   -1.07{col 60}{space 3}0.286{col 68}{space 4}-1.943467{col 81}{space 3} .5728602
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-8.504153{col 40}{space 2} 2.526859{col 51}{space 1}   -3.37{col 60}{space 3}0.001{col 68}{space 4}-13.45671{col 81}{space 3}  -3.5516
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7772.9854}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5658.1894}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4848.8315}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4775.2206}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4774.7306}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4774.7304}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    653982
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2618.23
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4774.7304{txt}{col 51}Pseudo R2{col 67}= {res}    0.3857

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.2713491{col 29}{space 2} .1245002{col 40}{space 1}   -2.18{col 49}{space 3}0.029{col 57}{space 4} -.515365{col 70}{space 3}-.0273331
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.2376603{col 29}{space 2} .1251747{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4}-.4829983{col 70}{space 3} .0076776
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1919958{col 29}{space 2} .4073519{col 40}{space 1}    0.47{col 49}{space 3}0.637{col 57}{space 4}-.6063992{col 70}{space 3} .9903908
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5107892{col 29}{space 2} .3042982{col 40}{space 1}   -1.68{col 49}{space 3}0.093{col 57}{space 4}-1.107203{col 70}{space 3} .0856243
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .0204893{col 29}{space 2} .1567239{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.2866838{col 70}{space 3} .3276624
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3364565{col 29}{space 2} .2719078{col 40}{space 1}   -1.24{col 49}{space 3}0.216{col 57}{space 4}-.8693859{col 70}{space 3} .1964729
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2}  1.65439{col 29}{space 2} .4339952{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .8037746{col 70}{space 3} 2.505005
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 27.36397{col 29}{space 2} 5.644996{col 40}{space 1}    4.85{col 49}{space 3}0.000{col 57}{space 4} 16.29998{col 70}{space 3} 38.42796
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.967508{col 29}{space 2} .3202355{col 40}{space 1}   15.51{col 49}{space 3}0.000{col 57}{space 4} 4.339858{col 70}{space 3} 5.595158
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0535788{col 29}{space 2}  .018177{col 40}{space 1}    2.95{col 49}{space 3}0.003{col 57}{space 4} .0179526{col 70}{space 3} .0892051
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0598609{col 29}{space 2} .0178595{col 40}{space 1}    3.35{col 49}{space 3}0.001{col 57}{space 4} .0248569{col 70}{space 3} .0948648
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0809124{col 29}{space 2} .0213825{col 40}{space 1}   -3.78{col 49}{space 3}0.000{col 57}{space 4}-.1228213{col 70}{space 3}-.0390034
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .6524002{col 29}{space 2} .2299476{col 40}{space 1}    2.84{col 49}{space 3}0.005{col 57}{space 4} .2017111{col 70}{space 3} 1.103089
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0720719{col 29}{space 2} .0413775{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4}-.1531703{col 70}{space 3} .0090266
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.896965{col 29}{space 2} .5052718{col 40}{space 1}    5.73{col 49}{space 3}0.000{col 57}{space 4}  1.90665{col 70}{space 3} 3.887279
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3585361{col 29}{space 2} .0415073{col 40}{space 1}   -8.64{col 49}{space 3}0.000{col 57}{space 4}-.4398889{col 70}{space 3}-.2771834
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0224805{col 29}{space 2} .0031758{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4}  .016256{col 70}{space 3}  .028705
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004328{col 29}{space 2} .0000719{col 40}{space 1}   -6.02{col 49}{space 3}0.000{col 57}{space 4}-.0005736{col 70}{space 3}-.0002919
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-10.97251{col 29}{space 2} 1.462557{col 40}{space 1}   -7.50{col 49}{space 3}0.000{col 57}{space 4}-13.83907{col 70}{space 3}-8.105955
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp sEdu tEdu MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-379.83877}  
Iteration 1:{space 3}log pseudolikelihood = {res:-284.44925}  
Iteration 2:{space 3}log pseudolikelihood = {res:-277.17373}  
Iteration 3:{space 3}log pseudolikelihood = {res:-276.95647}  
Iteration 4:{space 3}log pseudolikelihood = {res:-276.95599}  
Iteration 5:{space 3}log pseudolikelihood = {res:-276.95599}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       664
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     75.83
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-276.95599{txt}{col 51}Pseudo R2{col 67}= {res}    0.2709

{txt}{ralign 92:(Std. Err. adjusted for {res:213} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sEdu {c |}{col 28}{res}{space 2} .4267145{col 40}{space 2} .3674202{col 51}{space 1}    1.16{col 60}{space 3}0.245{col 68}{space 4}-.2934158{col 81}{space 3} 1.146845
{txt}{space 22}tEdu {c |}{col 28}{res}{space 2}-.2271484{col 40}{space 2} .3168758{col 51}{space 1}   -0.72{col 60}{space 3}0.473{col 68}{space 4}-.8482135{col 81}{space 3} .3939167
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.120942{col 40}{space 2} 1.002788{col 51}{space 1}   -1.12{col 60}{space 3}0.264{col 68}{space 4}-3.086371{col 81}{space 3} .8444871
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.0469047{col 40}{space 2} .5126301{col 51}{space 1}   -0.09{col 60}{space 3}0.927{col 68}{space 4}-1.051641{col 81}{space 3} .9578319
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.101889{col 40}{space 2} .7604717{col 51}{space 1}    2.76{col 60}{space 3}0.006{col 68}{space 4}  .611392{col 81}{space 3} 3.592386
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .6902612{col 40}{space 2} .6319776{col 51}{space 1}    1.09{col 60}{space 3}0.275{col 68}{space 4}-.5483922{col 81}{space 3} 1.928914
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.180765{col 40}{space 2} .9466941{col 51}{space 1}    3.36{col 60}{space 3}0.001{col 68}{space 4} 1.325278{col 81}{space 3} 5.036251
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.3690112{col 40}{space 2} .8741548{col 51}{space 1}   -0.42{col 60}{space 3}0.673{col 68}{space 4}-2.082323{col 81}{space 3} 1.344301
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} -.113931{col 40}{space 2}  .077536{col 51}{space 1}   -1.47{col 60}{space 3}0.142{col 68}{space 4}-.2658989{col 81}{space 3} .0380368
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} -.093073{col 40}{space 2} .0903892{col 51}{space 1}   -1.03{col 60}{space 3}0.303{col 68}{space 4}-.2702326{col 81}{space 3} .0840865
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .4999742{col 40}{space 2} .6842179{col 51}{space 1}    0.73{col 60}{space 3}0.465{col 68}{space 4}-.8410683{col 81}{space 3} 1.841017
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .2638659{col 40}{space 2} .5385593{col 51}{space 1}    0.49{col 60}{space 3}0.624{col 68}{space 4} -.791691{col 81}{space 3} 1.319423
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} .8536227{col 40}{space 2} .7190016{col 51}{space 1}    1.19{col 60}{space 3}0.235{col 68}{space 4}-.5555944{col 81}{space 3}  2.26284
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-.5262487{col 40}{space 2} .5448942{col 51}{space 1}   -0.97{col 60}{space 3}0.334{col 68}{space 4}-1.594222{col 81}{space 3} .5417243
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-11.80569{col 40}{space 2} 27.94634{col 51}{space 1}   -0.42{col 60}{space 3}0.673{col 68}{space 4}-66.57951{col 81}{space 3} 42.96812
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-2.024523{col 40}{space 2} .4474759{col 51}{space 1}   -4.52{col 60}{space 3}0.000{col 68}{space 4} -2.90156{col 81}{space 3}-1.147487
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.0837275{col 40}{space 2}  .044696{col 51}{space 1}   -1.87{col 60}{space 3}0.061{col 68}{space 4}  -.17133{col 81}{space 3}  .003875
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0181587{col 40}{space 2} .0470373{col 51}{space 1}   -0.39{col 60}{space 3}0.699{col 68}{space 4}-.1103502{col 81}{space 3} .0740327
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0589526{col 40}{space 2} .0535944{col 51}{space 1}   -1.10{col 60}{space 3}0.271{col 68}{space 4}-.1639956{col 81}{space 3} .0460904
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.4544703{col 40}{space 2} .4362815{col 51}{space 1}   -1.04{col 60}{space 3}0.298{col 68}{space 4}-1.309566{col 81}{space 3} .4006257
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2604939{col 40}{space 2}   .08909{col 51}{space 1}    2.92{col 60}{space 3}0.003{col 68}{space 4} .0858808{col 81}{space 3} .4351071
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.2960981{col 40}{space 2} .5954572{col 51}{space 1}   -0.50{col 60}{space 3}0.619{col 68}{space 4}-1.463173{col 81}{space 3} .8709765
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 2.051312{col 40}{space 2} 1.654739{col 51}{space 1}    1.24{col 60}{space 3}0.215{col 68}{space 4}-1.191917{col 81}{space 3} 5.294541
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table2 , word label title(Table 2: Graduate School Attendance For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table2.rtf"'"':Table2.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table2.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 3****
. *Models 1 and 2*
. heckprob imposition SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat= SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.03367}  
Iteration 1:{space 3}log pseudolikelihood = {res:-342.17269}  
Iteration 2:{space 3}log pseudolikelihood = {res:-340.62529}  
Iteration 3:{space 3}log pseudolikelihood = {res:-340.57612}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -340.576}  
Iteration 5:{space 3}log pseudolikelihood = {res:  -340.576}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4509.1426}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3197.7172}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2330.4779}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2303.5524}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2302.7627}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2302.7601}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2302.7601}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -455.3977}  
Iteration 1:{space 3}log pseudolikelihood = {res:-340.05545}  
Iteration 2:{space 3}log pseudolikelihood = {res:-337.50975}  
Iteration 3:{space 3}log pseudolikelihood = {res:-337.43853}  
Iteration 4:{space 3}log pseudolikelihood = {res:-337.43832}  
Iteration 5:{space 3}log pseudolikelihood = {res:-337.43832}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2640.5176}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2640.0692}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2640.0683}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2640.0683}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   231500
{txt}                                                Censored obs       = {res}   230843
                                                {txt}Uncensored obs     = {res}      657

                                                {txt}Wald chi2({res}16{txt})      = {res}   135.22
{txt}Log pseudolikelihood = {res}-2640.068                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 5}SenderGovt {c |}{col 17}{res}{space 2} .3076999{col 29}{space 2} .1540045{col 40}{space 1}    2.00{col 49}{space 3}0.046{col 57}{space 4} .0058566{col 70}{space 3} .6095432
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .5168801{col 29}{space 2} .1808477{col 40}{space 1}    2.86{col 49}{space 3}0.004{col 57}{space 4} .1624251{col 70}{space 3}  .871335
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.1264528{col 29}{space 2} .0676032{col 40}{space 1}   -1.87{col 49}{space 3}0.061{col 57}{space 4}-.2589526{col 70}{space 3}  .006047
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4391499{col 29}{space 2} .5966289{col 40}{space 1}    0.74{col 49}{space 3}0.462{col 57}{space 4}-.7302212{col 70}{space 3} 1.608521
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.0874753{col 29}{space 2}  .616158{col 40}{space 1}   -0.14{col 49}{space 3}0.887{col 57}{space 4}-1.295123{col 70}{space 3} 1.120172
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .2497347{col 29}{space 2} .1691462{col 40}{space 1}    1.48{col 49}{space 3}0.140{col 57}{space 4}-.0817858{col 70}{space 3} .5812551
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2} -.610492{col 29}{space 2}  .290899{col 40}{space 1}   -2.10{col 49}{space 3}0.036{col 57}{space 4}-1.180644{col 70}{space 3}-.0403405
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.259268{col 29}{space 2} .3024285{col 40}{space 1}    4.16{col 49}{space 3}0.000{col 57}{space 4} .6665187{col 70}{space 3} 1.852017
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 5.028072{col 29}{space 2} 11.32883{col 40}{space 1}    0.44{col 49}{space 3}0.657{col 57}{space 4}-17.17602{col 70}{space 3} 27.23216
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .9100367{col 29}{space 2} .4082339{col 40}{space 1}    2.23{col 49}{space 3}0.026{col 57}{space 4}  .109913{col 70}{space 3}  1.71016
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0141488{col 29}{space 2}  .043403{col 40}{space 1}   -0.33{col 49}{space 3}0.744{col 57}{space 4}-.0992172{col 70}{space 3} .0709196
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}-.0486233{col 29}{space 2} .0273607{col 40}{space 1}   -1.78{col 49}{space 3}0.076{col 57}{space 4}-.1022493{col 70}{space 3} .0050027
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0732185{col 29}{space 2} .0261072{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} .0220493{col 70}{space 3} .1243877
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0792617{col 29}{space 2} .2067278{col 40}{space 1}    0.38{col 49}{space 3}0.701{col 57}{space 4}-.3259173{col 70}{space 3} .4844407
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0852423{col 29}{space 2} .0563666{col 40}{space 1}   -1.51{col 49}{space 3}0.130{col 57}{space 4}-.1957188{col 70}{space 3} .0252341
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .2970995{col 29}{space 2} .3990696{col 40}{space 1}    0.74{col 49}{space 3}0.457{col 57}{space 4}-.4850626{col 70}{space 3} 1.079262
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -6.18172{col 29}{space 2} 1.371308{col 40}{space 1}   -4.51{col 49}{space 3}0.000{col 57}{space 4}-8.869433{col 70}{space 3}-3.494006
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.0493044{col 29}{space 2} .0564765{col 40}{space 1}   -0.87{col 49}{space 3}0.383{col 57}{space 4}-.1599962{col 70}{space 3} .0613874
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .0754085{col 29}{space 2} .0630649{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4}-.0481965{col 70}{space 3} .1990136
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.0459541{col 29}{space 2} .0263477{col 40}{space 1}   -1.74{col 49}{space 3}0.081{col 57}{space 4}-.0975948{col 70}{space 3} .0056865
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} -.070788{col 29}{space 2} .2157318{col 40}{space 1}   -0.33{col 49}{space 3}0.743{col 57}{space 4}-.4936145{col 70}{space 3} .3520385
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.0230924{col 29}{space 2} .1980463{col 40}{space 1}   -0.12{col 49}{space 3}0.907{col 57}{space 4}-.4112559{col 70}{space 3} .3650712
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0754554{col 29}{space 2} .0785225{col 40}{space 1}   -0.96{col 49}{space 3}0.337{col 57}{space 4}-.2293567{col 70}{space 3} .0784458
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.1596149{col 29}{space 2} .1389158{col 40}{space 1}   -1.15{col 49}{space 3}0.251{col 57}{space 4}-.4318849{col 70}{space 3} .1126551
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .6644643{col 29}{space 2} .1988112{col 40}{space 1}    3.34{col 49}{space 3}0.001{col 57}{space 4} .2748016{col 70}{space 3} 1.054127
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 9.420801{col 29}{space 2} 4.699163{col 40}{space 1}    2.00{col 49}{space 3}0.045{col 57}{space 4} .2106108{col 70}{space 3} 18.63099
{txt}{space 7}ussender {c |}{col 17}{res}{space 2}  2.08594{col 29}{space 2} .1596313{col 40}{space 1}   13.07{col 49}{space 3}0.000{col 57}{space 4} 1.773069{col 70}{space 3} 2.398812
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0261235{col 29}{space 2}  .011556{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} .0034741{col 70}{space 3} .0487729
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .021431{col 29}{space 2} .0094456{col 40}{space 1}    2.27{col 49}{space 3}0.023{col 57}{space 4}  .002918{col 70}{space 3}  .039944
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0410974{col 29}{space 2} .0121222{col 40}{space 1}   -3.39{col 49}{space 3}0.001{col 57}{space 4}-.0648565{col 70}{space 3}-.0173384
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .4836205{col 29}{space 2} .1159605{col 40}{space 1}    4.17{col 49}{space 3}0.000{col 57}{space 4}  .256342{col 70}{space 3}  .710899
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0290411{col 29}{space 2} .0201487{col 40}{space 1}   -1.44{col 49}{space 3}0.149{col 57}{space 4}-.0685317{col 70}{space 3} .0104496
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.105878{col 29}{space 2} .2024363{col 40}{space 1}    5.46{col 49}{space 3}0.000{col 57}{space 4} .7091103{col 70}{space 3} 1.502646
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.2773929{col 29}{space 2} .0250795{col 40}{space 1}  -11.06{col 49}{space 3}0.000{col 57}{space 4}-.3265479{col 70}{space 3} -.228238
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0164442{col 29}{space 2} .0018903{col 40}{space 1}    8.70{col 49}{space 3}0.000{col 57}{space 4} .0127393{col 70}{space 3} .0201491
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0002932{col 29}{space 2} .0000413{col 40}{space 1}   -7.09{col 49}{space 3}0.000{col 57}{space 4}-.0003742{col 70}{space 3}-.0002122
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -4.50994{col 29}{space 2} .7334572{col 40}{space 1}   -6.15{col 49}{space 3}0.000{col 57}{space 4}-5.947489{col 70}{space 3} -3.07239
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .4463124{col 29}{space 2} .2278876{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4}-.0003391{col 70}{space 3}  .892964
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .4188631{col 29}{space 2} .1879056{col 57}{space 4}-.0003391{col 70}{space 3} .7128546
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    3.84   {txt}Prob > chi2 = {res}0.0502
{txt}
{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4509.1426}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3020.7152}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2540.4649}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2316.3359}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2295.7933}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2294.5892}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2294.5865}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2294.5865}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    231500
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1542.74
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2294.5865{txt}{col 51}Pseudo R2{col 67}= {res}    0.4911

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.1361978{col 29}{space 2} .1338749{col 40}{space 1}   -1.02{col 49}{space 3}0.309{col 57}{space 4}-.3985877{col 70}{space 3} .1261921
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .1783037{col 29}{space 2} .1701292{col 40}{space 1}    1.05{col 49}{space 3}0.295{col 57}{space 4}-.1551435{col 70}{space 3} .5117508
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.1071065{col 29}{space 2} .0647813{col 40}{space 1}   -1.65{col 49}{space 3}0.098{col 57}{space 4}-.2340756{col 70}{space 3} .0198626
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1425977{col 29}{space 2} .4843111{col 40}{space 1}   -0.29{col 49}{space 3}0.768{col 57}{space 4} -1.09183{col 70}{space 3} .8066346
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2621194{col 29}{space 2} .5228806{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}-.7627078{col 70}{space 3} 1.286947
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3589805{col 29}{space 2} .1803081{col 40}{space 1}   -1.99{col 49}{space 3}0.046{col 57}{space 4}-.7123779{col 70}{space 3} -.005583
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3656932{col 29}{space 2}  .360169{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-1.071612{col 70}{space 3} .3402251
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.561313{col 29}{space 2} .5241158{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4} .5340653{col 70}{space 3} 2.588562
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 20.57034{col 29}{space 2} 8.373914{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} 4.157767{col 70}{space 3} 36.98291
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.380647{col 29}{space 2}  .442201{col 40}{space 1}   12.17{col 49}{space 3}0.000{col 57}{space 4} 4.513949{col 70}{space 3} 6.247345
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0895616{col 29}{space 2} .0388694{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} .0133791{col 70}{space 3} .1657442
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0860031{col 29}{space 2} .0295502{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .0280858{col 70}{space 3} .1439204
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1375083{col 29}{space 2} .0306184{col 40}{space 1}   -4.49{col 49}{space 3}0.000{col 57}{space 4}-.1975193{col 70}{space 3}-.0774973
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.066901{col 29}{space 2} .2987469{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} .4813674{col 70}{space 3} 1.652434
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1142966{col 29}{space 2}  .059113{col 40}{space 1}   -1.93{col 49}{space 3}0.053{col 57}{space 4}-.2301559{col 70}{space 3} .0015628
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.437865{col 29}{space 2} .5880557{col 40}{space 1}    4.15{col 49}{space 3}0.000{col 57}{space 4} 1.285297{col 70}{space 3} 3.590433
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5874782{col 29}{space 2} .0592902{col 40}{space 1}   -9.91{col 49}{space 3}0.000{col 57}{space 4}-.7036848{col 70}{space 3}-.4712716
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0355812{col 29}{space 2} .0044474{col 40}{space 1}    8.00{col 49}{space 3}0.000{col 57}{space 4} .0268645{col 70}{space 3} .0442979
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006411{col 29}{space 2}  .000097{col 40}{space 1}   -6.61{col 49}{space 3}0.000{col 57}{space 4}-.0008312{col 70}{space 3} -.000451
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-11.13696{col 29}{space 2} 1.868904{col 40}{space 1}   -5.96{col 49}{space 3}0.000{col 57}{space 4}-14.79994{col 70}{space 3}-7.473975
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.03367}  
Iteration 1:{space 3}log pseudolikelihood = {res:-344.95863}  
Iteration 2:{space 3}log pseudolikelihood = {res:-341.69157}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.58399}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.58368}  
Iteration 5:{space 3}log pseudolikelihood = {res:-341.58368}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       657
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     81.22
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-341.58368{txt}{col 51}Pseudo R2{col 67}= {res}    0.1375

{txt}{ralign 79:(Std. Err. adjusted for {res:158} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .6641253{col 27}{space 2} .2602472{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .1540501{col 68}{space 3}   1.1742
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .8867446{col 27}{space 2} .3150719{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4}  .269215{col 68}{space 3} 1.504274
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.2208987{col 27}{space 2} .1232864{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-.4625356{col 68}{space 3} .0207382
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .872767{col 27}{space 2} 1.170845{col 38}{space 1}    0.75{col 47}{space 3}0.456{col 55}{space 4}-1.422046{col 68}{space 3}  3.16758
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.1119708{col 27}{space 2} 1.093304{col 38}{space 1}   -0.10{col 47}{space 3}0.918{col 55}{space 4}-2.254806{col 68}{space 3} 2.030865
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .4819365{col 27}{space 2} .3073517{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.1204619{col 68}{space 3} 1.084335
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.042056{col 27}{space 2} .5243742{col 38}{space 1}   -1.99{col 47}{space 3}0.047{col 55}{space 4} -2.06981{col 68}{space 3}-.0143012
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.863782{col 27}{space 2} .5554063{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} .7752053{col 68}{space 3} 2.952358
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} 4.935558{col 27}{space 2} 20.26487{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-34.78285{col 68}{space 3} 44.65397
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .0934143{col 27}{space 2} .4159646{col 38}{space 1}    0.22{col 47}{space 3}0.822{col 55}{space 4}-.7218614{col 68}{space 3}   .90869
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.043464{col 27}{space 2} .0825794{col 38}{space 1}   -0.53{col 47}{space 3}0.599{col 55}{space 4}-.2053166{col 68}{space 3} .1183886
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1001499{col 27}{space 2} .0498638{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-.1978812{col 68}{space 3}-.0024186
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2}  .167619{col 27}{space 2} .0441382{col 38}{space 1}    3.80{col 47}{space 3}0.000{col 55}{space 4} .0811097{col 68}{space 3} .2541282
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.0963362{col 27}{space 2} .3540752{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-.7903109{col 68}{space 3} .5976385
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1248688{col 27}{space 2} .1060836{col 38}{space 1}   -1.18{col 47}{space 3}0.239{col 55}{space 4}-.3327888{col 68}{space 3} .0830511
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2548772{col 27}{space 2} .6473906{col 38}{space 1}   -0.39{col 47}{space 3}0.694{col 55}{space 4}-1.523739{col 68}{space 3} 1.013985
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-7.062168{col 27}{space 2} 2.177143{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-11.32929{col 68}{space 3}-2.795046
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4509.1426}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3020.7152}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2540.4649}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2316.3359}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2295.7933}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2294.5892}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2294.5865}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2294.5865}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    231500
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1542.74
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2294.5865{txt}{col 51}Pseudo R2{col 67}= {res}    0.4911

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.1361978{col 29}{space 2} .1338749{col 40}{space 1}   -1.02{col 49}{space 3}0.309{col 57}{space 4}-.3985877{col 70}{space 3} .1261921
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .1783037{col 29}{space 2} .1701292{col 40}{space 1}    1.05{col 49}{space 3}0.295{col 57}{space 4}-.1551435{col 70}{space 3} .5117508
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.1071065{col 29}{space 2} .0647813{col 40}{space 1}   -1.65{col 49}{space 3}0.098{col 57}{space 4}-.2340756{col 70}{space 3} .0198626
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1425977{col 29}{space 2} .4843111{col 40}{space 1}   -0.29{col 49}{space 3}0.768{col 57}{space 4} -1.09183{col 70}{space 3} .8066346
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2621194{col 29}{space 2} .5228806{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}-.7627078{col 70}{space 3} 1.286947
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3589805{col 29}{space 2} .1803081{col 40}{space 1}   -1.99{col 49}{space 3}0.046{col 57}{space 4}-.7123779{col 70}{space 3} -.005583
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3656932{col 29}{space 2}  .360169{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-1.071612{col 70}{space 3} .3402251
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.561313{col 29}{space 2} .5241158{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4} .5340653{col 70}{space 3} 2.588562
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 20.57034{col 29}{space 2} 8.373914{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} 4.157767{col 70}{space 3} 36.98291
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.380647{col 29}{space 2}  .442201{col 40}{space 1}   12.17{col 49}{space 3}0.000{col 57}{space 4} 4.513949{col 70}{space 3} 6.247345
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0895616{col 29}{space 2} .0388694{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} .0133791{col 70}{space 3} .1657442
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0860031{col 29}{space 2} .0295502{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .0280858{col 70}{space 3} .1439204
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1375083{col 29}{space 2} .0306184{col 40}{space 1}   -4.49{col 49}{space 3}0.000{col 57}{space 4}-.1975193{col 70}{space 3}-.0774973
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.066901{col 29}{space 2} .2987469{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} .4813674{col 70}{space 3} 1.652434
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1142966{col 29}{space 2}  .059113{col 40}{space 1}   -1.93{col 49}{space 3}0.053{col 57}{space 4}-.2301559{col 70}{space 3} .0015628
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.437865{col 29}{space 2} .5880557{col 40}{space 1}    4.15{col 49}{space 3}0.000{col 57}{space 4} 1.285297{col 70}{space 3} 3.590433
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5874782{col 29}{space 2} .0592902{col 40}{space 1}   -9.91{col 49}{space 3}0.000{col 57}{space 4}-.7036848{col 70}{space 3}-.4712716
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0355812{col 29}{space 2} .0044474{col 40}{space 1}    8.00{col 49}{space 3}0.000{col 57}{space 4} .0268645{col 70}{space 3} .0442979
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006411{col 29}{space 2}  .000097{col 40}{space 1}   -6.61{col 49}{space 3}0.000{col 57}{space 4}-.0008312{col 70}{space 3} -.000451
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-11.13696{col 29}{space 2} 1.868904{col 40}{space 1}   -5.96{col 49}{space 3}0.000{col 57}{space 4}-14.79994{col 70}{space 3}-7.473975
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp SenderGovt TargetGovt WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: polity21 != 10 predicts failure perfectly
      polity21 dropped and 32 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-213.31175}  
Iteration 1:{space 3}log pseudolikelihood = {res:-126.55498}  
Iteration 2:{space 3}log pseudolikelihood = {res:-116.41774}  
Iteration 3:{space 3}log pseudolikelihood = {res:-114.71761}  
Iteration 4:{space 3}log pseudolikelihood = {res:-114.43552}  
Iteration 5:{space 3}log pseudolikelihood = {res:-114.42198}  
Iteration 6:{space 3}log pseudolikelihood = {res:-114.42194}  
Iteration 7:{space 3}log pseudolikelihood = {res:-114.42194}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       375
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}     68.84
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-114.42194{txt}{col 51}Pseudo R2{col 67}= {res}    0.4636

{txt}{ralign 92:(Std. Err. adjusted for {res:101} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}SenderGovt {c |}{col 28}{res}{space 2}-1.214318{col 40}{space 2} .4419656{col 51}{space 1}   -2.75{col 60}{space 3}0.006{col 68}{space 4}-2.080554{col 81}{space 3}-.3480809
{txt}{space 16}TargetGovt {c |}{col 28}{res}{space 2} .4607058{col 40}{space 2}  .596828{col 51}{space 1}    0.77{col 60}{space 3}0.440{col 68}{space 4}-.7090557{col 81}{space 3} 1.630467
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} .0115535{col 40}{space 2}  .224739{col 51}{space 1}    0.05{col 60}{space 3}0.959{col 68}{space 4}-.4289268{col 81}{space 3} .4520339
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 3.871898{col 40}{space 2} 1.658075{col 51}{space 1}    2.34{col 60}{space 3}0.020{col 68}{space 4}   .62213{col 81}{space 3} 7.121666
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.2802129{col 40}{space 2}  .782787{col 51}{space 1}   -0.36{col 60}{space 3}0.720{col 68}{space 4}-1.814447{col 81}{space 3} 1.254021
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.314112{col 40}{space 2} 1.266219{col 51}{space 1}   -1.04{col 60}{space 3}0.299{col 68}{space 4}-3.795855{col 81}{space 3} 1.167631
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.793789{col 40}{space 2} .7196141{col 51}{space 1}   -3.88{col 60}{space 3}0.000{col 68}{space 4}-4.204206{col 81}{space 3}-1.383371
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -2.09233{col 40}{space 2} 1.321841{col 51}{space 1}   -1.58{col 60}{space 3}0.113{col 68}{space 4}-4.683091{col 81}{space 3} .4984319
{txt}{space 24}5  {c |}{col 28}{res}{space 2}  2.09039{col 40}{space 2} 1.075894{col 51}{space 1}    1.94{col 60}{space 3}0.052{col 68}{space 4}-.0183238{col 81}{space 3} 4.199104
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0581572{col 40}{space 2} .1010299{col 51}{space 1}   -0.58{col 60}{space 3}0.565{col 68}{space 4}-.2561721{col 81}{space 3} .1398577
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.1092724{col 40}{space 2}  .140044{col 51}{space 1}   -0.78{col 60}{space 3}0.435{col 68}{space 4}-.3837535{col 81}{space 3} .1652087
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-4.232739{col 40}{space 2}  1.58455{col 51}{space 1}   -2.67{col 60}{space 3}0.008{col 68}{space 4}-7.338401{col 81}{space 3}-1.127078
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-1.068946{col 40}{space 2} .9888312{col 51}{space 1}   -1.08{col 60}{space 3}0.280{col 68}{space 4} -3.00702{col 81}{space 3} .8691275
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2}  3.62425{col 40}{space 2} 1.652543{col 51}{space 1}    2.19{col 60}{space 3}0.028{col 68}{space 4} .3853251{col 81}{space 3} 6.863174
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 2.061361{col 40}{space 2} .8568487{col 51}{space 1}    2.41{col 60}{space 3}0.016{col 68}{space 4} .3819683{col 81}{space 3} 3.740753
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-251.1268{col 40}{space 2} 356.7406{col 51}{space 1}   -0.70{col 60}{space 3}0.481{col 68}{space 4}-950.3256{col 81}{space 3} 448.0719
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.096003{col 40}{space 2} .9502325{col 51}{space 1}   -1.15{col 60}{space 3}0.249{col 68}{space 4}-2.958424{col 81}{space 3} .7664188
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 18}polity22 {c |}{col 28}{res}{space 2}-.3414429{col 40}{space 2} .1278078{col 51}{space 1}   -2.67{col 60}{space 3}0.008{col 68}{space 4}-.5919416{col 81}{space 3}-.0909441
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} .1233239{col 40}{space 2} .0821343{col 51}{space 1}    1.50{col 60}{space 3}0.133{col 68}{space 4}-.0376564{col 81}{space 3} .2843041
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .1950308{col 40}{space 2}  .862575{col 51}{space 1}    0.23{col 60}{space 3}0.821{col 68}{space 4}-1.495585{col 81}{space 3} 1.885647
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .0047484{col 40}{space 2} .2045806{col 51}{space 1}    0.02{col 60}{space 3}0.981{col 68}{space 4}-.3962223{col 81}{space 3}  .405719
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.7445352{col 40}{space 2} .6380768{col 51}{space 1}   -1.17{col 60}{space 3}0.243{col 68}{space 4}-1.995143{col 81}{space 3} .5060724
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -2.69539{col 40}{space 2} 2.855132{col 51}{space 1}   -0.94{col 60}{space 3}0.345{col 68}{space 4}-8.291347{col 81}{space 3} 2.900566
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4509.1426}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3020.7152}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2540.4649}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2316.3359}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2295.7933}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2294.5892}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2294.5865}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2294.5865}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    231500
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1542.74
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2294.5865{txt}{col 51}Pseudo R2{col 67}= {res}    0.4911

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.1361978{col 29}{space 2} .1338749{col 40}{space 1}   -1.02{col 49}{space 3}0.309{col 57}{space 4}-.3985877{col 70}{space 3} .1261921
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .1783037{col 29}{space 2} .1701292{col 40}{space 1}    1.05{col 49}{space 3}0.295{col 57}{space 4}-.1551435{col 70}{space 3} .5117508
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.1071065{col 29}{space 2} .0647813{col 40}{space 1}   -1.65{col 49}{space 3}0.098{col 57}{space 4}-.2340756{col 70}{space 3} .0198626
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1425977{col 29}{space 2} .4843111{col 40}{space 1}   -0.29{col 49}{space 3}0.768{col 57}{space 4} -1.09183{col 70}{space 3} .8066346
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2621194{col 29}{space 2} .5228806{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}-.7627078{col 70}{space 3} 1.286947
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3589805{col 29}{space 2} .1803081{col 40}{space 1}   -1.99{col 49}{space 3}0.046{col 57}{space 4}-.7123779{col 70}{space 3} -.005583
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3656932{col 29}{space 2}  .360169{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-1.071612{col 70}{space 3} .3402251
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.561313{col 29}{space 2} .5241158{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4} .5340653{col 70}{space 3} 2.588562
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 20.57034{col 29}{space 2} 8.373914{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} 4.157767{col 70}{space 3} 36.98291
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.380647{col 29}{space 2}  .442201{col 40}{space 1}   12.17{col 49}{space 3}0.000{col 57}{space 4} 4.513949{col 70}{space 3} 6.247345
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0895616{col 29}{space 2} .0388694{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} .0133791{col 70}{space 3} .1657442
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0860031{col 29}{space 2} .0295502{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .0280858{col 70}{space 3} .1439204
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1375083{col 29}{space 2} .0306184{col 40}{space 1}   -4.49{col 49}{space 3}0.000{col 57}{space 4}-.1975193{col 70}{space 3}-.0774973
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.066901{col 29}{space 2} .2987469{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} .4813674{col 70}{space 3} 1.652434
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1142966{col 29}{space 2}  .059113{col 40}{space 1}   -1.93{col 49}{space 3}0.053{col 57}{space 4}-.2301559{col 70}{space 3} .0015628
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.437865{col 29}{space 2} .5880557{col 40}{space 1}    4.15{col 49}{space 3}0.000{col 57}{space 4} 1.285297{col 70}{space 3} 3.590433
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5874782{col 29}{space 2} .0592902{col 40}{space 1}   -9.91{col 49}{space 3}0.000{col 57}{space 4}-.7036848{col 70}{space 3}-.4712716
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0355812{col 29}{space 2} .0044474{col 40}{space 1}    8.00{col 49}{space 3}0.000{col 57}{space 4} .0268645{col 70}{space 3} .0442979
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006411{col 29}{space 2}  .000097{col 40}{space 1}   -6.61{col 49}{space 3}0.000{col 57}{space 4}-.0008312{col 70}{space 3} -.000451
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-11.13696{col 29}{space 2} 1.868904{col 40}{space 1}   -5.96{col 49}{space 3}0.000{col 57}{space 4}-14.79994{col 70}{space 3}-7.473975
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp SenderGovt TargetGovt WBScaleGovt MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: MajorSenderCost != 0 predicts failure perfectly
      MajorSenderCost dropped and 29 obs not used

note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-197.69263}  
Iteration 1:{space 3}log pseudolikelihood = {res:-138.84905}  
Iteration 2:{space 3}log pseudolikelihood = {res: -129.8935}  
Iteration 3:{space 3}log pseudolikelihood = {res:-129.24295}  
Iteration 4:{space 3}log pseudolikelihood = {res:-129.24156}  
Iteration 5:{space 3}log pseudolikelihood = {res:-129.24156}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       378
{txt}{col 51}Wald chi2({res}22{txt}){col 67}= {res}    105.16
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-129.24156{txt}{col 51}Pseudo R2{col 67}= {res}    0.3462

{txt}{ralign 92:(Std. Err. adjusted for {res:118} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}SenderGovt {c |}{col 28}{res}{space 2} .0013435{col 40}{space 2} .5787498{col 51}{space 1}    0.00{col 60}{space 3}0.998{col 68}{space 4}-1.132985{col 81}{space 3} 1.135672
{txt}{space 16}TargetGovt {c |}{col 28}{res}{space 2}-1.301478{col 40}{space 2} .6228943{col 51}{space 1}   -2.09{col 60}{space 3}0.037{col 68}{space 4}-2.522329{col 81}{space 3}-.0806281
{txt}{space 15}WBScaleGovt {c |}{col 28}{res}{space 2} .0179666{col 40}{space 2}  .262043{col 51}{space 1}    0.07{col 60}{space 3}0.945{col 68}{space 4}-.4956282{col 81}{space 3} .5315614
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-1.126426{col 40}{space 2} .8907099{col 51}{space 1}   -1.26{col 60}{space 3}0.206{col 68}{space 4}-2.872186{col 81}{space 3}  .619333
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.525751{col 40}{space 2} 1.081477{col 51}{space 1}    2.34{col 60}{space 3}0.020{col 68}{space 4} .4060946{col 81}{space 3} 4.645408
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .3775656{col 40}{space 2} .8601918{col 51}{space 1}    0.44{col 60}{space 3}0.661{col 68}{space 4}-1.308379{col 81}{space 3}  2.06351
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 4.182592{col 40}{space 2} 1.219787{col 51}{space 1}    3.43{col 60}{space 3}0.001{col 68}{space 4} 1.791854{col 81}{space 3}  6.57333
{txt}{space 24}5  {c |}{col 28}{res}{space 2} -1.34006{col 40}{space 2} 1.577552{col 51}{space 1}   -0.85{col 60}{space 3}0.396{col 68}{space 4}-4.432006{col 81}{space 3} 1.751886
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0411463{col 40}{space 2} .1081649{col 51}{space 1}   -0.38{col 60}{space 3}0.704{col 68}{space 4}-.2531457{col 81}{space 3}  .170853
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0134259{col 40}{space 2} .1376759{col 51}{space 1}   -0.10{col 60}{space 3}0.922{col 68}{space 4}-.2832656{col 81}{space 3} .2564139
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} .4346809{col 40}{space 2} 1.141688{col 51}{space 1}    0.38{col 60}{space 3}0.703{col 68}{space 4}-1.802986{col 81}{space 3} 2.672348
{txt}{space 23}WTO {c |}{col 28}{res}{space 2} .7723921{col 40}{space 2} .7076623{col 51}{space 1}    1.09{col 60}{space 3}0.275{col 68}{space 4}-.6146006{col 81}{space 3} 2.159385
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} .3844999{col 40}{space 2} 1.000652{col 51}{space 1}    0.38{col 60}{space 3}0.701{col 68}{space 4}-1.576741{col 81}{space 3} 2.345741
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2}-1.180218{col 40}{space 2} .8545897{col 51}{space 1}   -1.38{col 60}{space 3}0.167{col 68}{space 4}-2.855183{col 81}{space 3} .4947473
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-43.37042{col 40}{space 2} 34.41597{col 51}{space 1}   -1.26{col 60}{space 3}0.208{col 68}{space 4}-110.8245{col 81}{space 3} 24.08363
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.7667041{col 40}{space 2} .7983733{col 51}{space 1}   -0.96{col 60}{space 3}0.337{col 68}{space 4}-2.331487{col 81}{space 3} .7980788
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .0862304{col 40}{space 2} .1235879{col 51}{space 1}    0.70{col 60}{space 3}0.485{col 68}{space 4}-.1559974{col 81}{space 3} .3284582
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2} .3332158{col 40}{space 2} .1220636{col 51}{space 1}    2.73{col 60}{space 3}0.006{col 68}{space 4} .0939755{col 81}{space 3} .5724562
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.3773564{col 40}{space 2} .0937157{col 51}{space 1}   -4.03{col 60}{space 3}0.000{col 68}{space 4}-.5610357{col 81}{space 3} -.193677
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.3496447{col 40}{space 2} .5768986{col 51}{space 1}   -0.61{col 60}{space 3}0.544{col 68}{space 4}-1.480345{col 81}{space 3} .7810556
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}  .426143{col 40}{space 2} .1957687{col 51}{space 1}    2.18{col 60}{space 3}0.029{col 68}{space 4} .0424435{col 81}{space 3} .8098426
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.7807054{col 40}{space 2} .8108984{col 51}{space 1}   -0.96{col 60}{space 3}0.336{col 68}{space 4}-2.370037{col 81}{space 3} .8086262
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} .5686528{col 40}{space 2}  3.18492{col 51}{space 1}    0.18{col 60}{space 3}0.858{col 68}{space 4}-5.673676{col 81}{space 3} 6.810982
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table3 , word label title(Table 3: Political Ideology for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table3.rtf"'"':Table3.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table3.txt", label"':seeout}

{com}. 
. 
. 
. 
. ****Table 4****
. *Models 1 and 2*
. heckprob imposition AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-470.56976}  
Iteration 2:{space 3}log pseudolikelihood = {res:-470.27725}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.27722}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4635.4997}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3567.6086}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3546.0978}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3545.9174}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3545.9173}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-568.38069}  
Iteration 1:{space 3}log pseudolikelihood = {res:-466.63728}  
Iteration 2:{space 3}log pseudolikelihood = {res:-466.09517}  
Iteration 3:{space 3}log pseudolikelihood = {res:-466.09443}  
Iteration 4:{space 3}log pseudolikelihood = {res:-466.09443}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4012.7879}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4012.0554}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4012.0448}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4012.0448}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   429382
{txt}                                                Censored obs       = {res}   428562
                                                {txt}Uncensored obs     = {res}      820

                                                {txt}Wald chi2({res}14{txt})      = {res}   101.50
{txt}Log pseudolikelihood = {res}-4012.045                {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
AddRestrictions {c |}{col 17}{res}{space 2} .0046481{col 29}{space 2} .0026933{col 40}{space 1}    1.73{col 49}{space 3}0.084{col 57}{space 4}-.0006306{col 70}{space 3} .0099268
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2793923{col 29}{space 2}  .477958{col 40}{space 1}    0.58{col 49}{space 3}0.559{col 57}{space 4}-.6573881{col 70}{space 3} 1.216173
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.6544173{col 29}{space 2} .5309563{col 40}{space 1}   -1.23{col 49}{space 3}0.218{col 57}{space 4}-1.695073{col 70}{space 3} .3862381
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .1836519{col 29}{space 2}  .139169{col 40}{space 1}    1.32{col 49}{space 3}0.187{col 57}{space 4}-.0891143{col 70}{space 3} .4564181
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7549348{col 29}{space 2}  .193507{col 40}{space 1}   -3.90{col 49}{space 3}0.000{col 57}{space 4}-1.134202{col 70}{space 3} -.375668
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .6538494{col 29}{space 2} .2702365{col 40}{space 1}    2.42{col 49}{space 3}0.016{col 57}{space 4} .1241955{col 70}{space 3} 1.183503
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} .9484859{col 29}{space 2} 5.042373{col 40}{space 1}    0.19{col 49}{space 3}0.851{col 57}{space 4}-8.934384{col 70}{space 3} 10.83136
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.233066{col 29}{space 2} .2641357{col 40}{space 1}    4.67{col 49}{space 3}0.000{col 57}{space 4}   .71537{col 70}{space 3} 1.750763
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0021675{col 29}{space 2} .0169097{col 40}{space 1}   -0.13{col 49}{space 3}0.898{col 57}{space 4}-.0353098{col 70}{space 3} .0309748
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0298339{col 29}{space 2} .0159571{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4}-.0014415{col 70}{space 3} .0611092
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0192919{col 29}{space 2} .0199086{col 40}{space 1}    0.97{col 49}{space 3}0.333{col 57}{space 4}-.0197282{col 70}{space 3}  .058312
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .0106373{col 29}{space 2} .1667611{col 40}{space 1}    0.06{col 49}{space 3}0.949{col 57}{space 4}-.3162085{col 70}{space 3} .3374831
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0897084{col 29}{space 2} .0394055{col 40}{space 1}   -2.28{col 49}{space 3}0.023{col 57}{space 4}-.1669418{col 70}{space 3} -.012475
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .2859074{col 29}{space 2} .2699571{col 40}{space 1}    1.06{col 49}{space 3}0.290{col 57}{space 4}-.2431987{col 70}{space 3} .8150136
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-4.074353{col 29}{space 2} 1.100541{col 40}{space 1}   -3.70{col 49}{space 3}0.000{col 57}{space 4}-6.231373{col 70}{space 3}-1.917333
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
AddRestrictions {c |}{col 17}{res}{space 2}  .004636{col 29}{space 2} .0009743{col 40}{space 1}    4.76{col 49}{space 3}0.000{col 57}{space 4} .0027263{col 70}{space 3} .0065456
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1290252{col 29}{space 2} .1625446{col 40}{space 1}    0.79{col 49}{space 3}0.427{col 57}{space 4}-.1895564{col 70}{space 3} .4476069
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .0259576{col 29}{space 2} .1988542{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.3637894{col 70}{space 3} .4157046
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.0719454{col 29}{space 2} .0661418{col 40}{space 1}   -1.09{col 49}{space 3}0.277{col 57}{space 4}-.2015809{col 70}{space 3} .0576901
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2565077{col 29}{space 2} .1329989{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}-.5171807{col 70}{space 3} .0041654
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .9071285{col 29}{space 2} .1350425{col 40}{space 1}    6.72{col 49}{space 3}0.000{col 57}{space 4}   .64245{col 70}{space 3} 1.171807
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 8.280665{col 29}{space 2} 2.702098{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4} 2.984649{col 70}{space 3} 13.57668
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.794638{col 29}{space 2} .1391869{col 40}{space 1}   12.89{col 49}{space 3}0.000{col 57}{space 4} 1.521836{col 70}{space 3} 2.067439
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0003567{col 29}{space 2} .0060191{col 40}{space 1}    0.06{col 49}{space 3}0.953{col 57}{space 4}-.0114405{col 70}{space 3} .0121539
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0039084{col 29}{space 2} .0060996{col 40}{space 1}    0.64{col 49}{space 3}0.522{col 57}{space 4}-.0080466{col 70}{space 3} .0158634
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0063585{col 29}{space 2} .0104034{col 40}{space 1}   -0.61{col 49}{space 3}0.541{col 57}{space 4}-.0267489{col 70}{space 3} .0140319
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2303247{col 29}{space 2} .0845332{col 40}{space 1}    2.72{col 49}{space 3}0.006{col 57}{space 4} .0646425{col 70}{space 3} .3960068
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0106446{col 29}{space 2} .0182121{col 40}{space 1}   -0.58{col 49}{space 3}0.559{col 57}{space 4}-.0463397{col 70}{space 3} .0250505
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.148045{col 29}{space 2} .1718438{col 40}{space 1}    6.68{col 49}{space 3}0.000{col 57}{space 4} .8112373{col 70}{space 3} 1.484853
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.2484398{col 29}{space 2} .0207812{col 40}{space 1}  -11.96{col 49}{space 3}0.000{col 57}{space 4}-.2891703{col 70}{space 3}-.2077093
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0153408{col 29}{space 2} .0015928{col 40}{space 1}    9.63{col 49}{space 3}0.000{col 57}{space 4} .0122189{col 70}{space 3} .0184627
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0002849{col 29}{space 2} .0000348{col 40}{space 1}   -8.19{col 49}{space 3}0.000{col 57}{space 4} -.000353{col 70}{space 3}-.0002167
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-5.795268{col 29}{space 2} .5022647{col 40}{space 1}  -11.54{col 49}{space 3}0.000{col 57}{space 4}-6.779689{col 70}{space 3}-4.810847
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .4350641{col 29}{space 2} .1653344{col 40}{space 1}    2.63{col 49}{space 3}0.009{col 57}{space 4} .1110146{col 70}{space 3} .7591137
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .4095448{col 29}{space 2} .1376034{col 57}{space 4} .1105607{col 70}{space 3} .6405546
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    6.92   {txt}Prob > chi2 = {res}0.0085
{txt}
{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.9819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.5084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3559.8632}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3556.4978}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3556.4802}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3556.4802}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   1955.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3556.4802{txt}{col 51}Pseudo R2{col 67}= {res}    0.4026

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0104298{col 29}{space 2} .0032965{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0039688{col 70}{space 3} .0168908
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3921635{col 29}{space 2} .4146873{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4206087{col 70}{space 3} 1.204936
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2034974{col 29}{space 2} .4930762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.7629142{col 70}{space 3} 1.169909
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.2411867{col 29}{space 2} .1617586{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.5582278{col 70}{space 3} .0758544
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7153627{col 29}{space 2} .3645961{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.429958{col 70}{space 3}-.0007675
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.473321{col 29}{space 2} .3973674{col 40}{space 1}    6.22{col 49}{space 3}0.000{col 57}{space 4} 1.694495{col 70}{space 3} 3.252147
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.99065{col 29}{space 2} 6.010407{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  6.21047{col 70}{space 3} 29.77083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.509019{col 29}{space 2} .3809738{col 40}{space 1}   11.84{col 49}{space 3}0.000{col 57}{space 4} 3.762324{col 70}{space 3} 5.255714
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0107856{col 29}{space 2} .0191908{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.0268277{col 70}{space 3} .0483989
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .022811{col 29}{space 2} .0196212{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0156459{col 70}{space 3} .0612679
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0386626{col 29}{space 2} .0243497{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -.086387{col 70}{space 3} .0090619
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5457277{col 29}{space 2} .2361993{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .0827855{col 70}{space 3}  1.00867
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0526721{col 29}{space 2} .0526391{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.1558429{col 70}{space 3} .0504987
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}  2.80676{col 29}{space 2} .5228786{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} 1.781937{col 70}{space 3} 3.831584
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}  -.59016{col 29}{space 2} .0545701{col 40}{space 1}  -10.81{col 49}{space 3}0.000{col 57}{space 4}-.6971154{col 70}{space 3}-.4832046
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0373411{col 29}{space 2} .0041273{col 40}{space 1}    9.05{col 49}{space 3}0.000{col 57}{space 4} .0292517{col 70}{space 3} .0454305
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000706{col 29}{space 2}   .00009{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-.0008825{col 70}{space 3}-.0005295
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-14.56066{col 29}{space 2} 1.356919{col 40}{space 1}  -10.73{col 49}{space 3}0.000{col 57}{space 4}-17.22017{col 70}{space 3}-11.90115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-512.97218}  
Iteration 1:{space 3}log pseudolikelihood = {res:-471.36766}  
Iteration 2:{space 3}log pseudolikelihood = {res: -470.3965}  
Iteration 3:{space 3}log pseudolikelihood = {res:-470.39329}  
Iteration 4:{space 3}log pseudolikelihood = {res:-470.39329}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       820
{txt}{col 51}Wald chi2({res}14{txt}){col 67}= {res}     52.52
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-470.39329{txt}{col 51}Pseudo R2{col 67}= {res}    0.0830

{txt}{ralign 81:(Std. Err. adjusted for {res:224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}     imposition{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0070939{col 29}{space 2} .0050214{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4} -.002748{col 70}{space 3} .0169357
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .4275526{col 29}{space 2} .8693273{col 40}{space 1}    0.49{col 49}{space 3}0.623{col 57}{space 4}-1.276298{col 70}{space 3} 2.131403
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.9798665{col 29}{space 2} 1.015124{col 40}{space 1}   -0.97{col 49}{space 3}0.334{col 57}{space 4}-2.969472{col 70}{space 3} 1.009739
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .3753994{col 29}{space 2} .2521859{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.1188759{col 70}{space 3} .8696747
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-1.190148{col 29}{space 2} .3708312{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4}-1.916963{col 70}{space 3}-.4633318
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .7059248{col 29}{space 2}  .498719{col 40}{space 1}    1.42{col 49}{space 3}0.157{col 57}{space 4}-.2715464{col 70}{space 3} 1.683396
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.772381{col 29}{space 2} 8.186279{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-19.81719{col 70}{space 3} 12.27243
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} .9689663{col 29}{space 2}   .38466{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .2150466{col 70}{space 3} 1.722886
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}  -.00446{col 29}{space 2} .0312311{col 40}{space 1}   -0.14{col 49}{space 3}0.886{col 57}{space 4}-.0656718{col 70}{space 3} .0567518
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0483796{col 29}{space 2} .0311771{col 40}{space 1}    1.55{col 49}{space 3}0.121{col 57}{space 4}-.0127264{col 70}{space 3} .1094856
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0442661{col 29}{space 2} .0387541{col 40}{space 1}    1.14{col 49}{space 3}0.253{col 57}{space 4}-.0316906{col 70}{space 3} .1202228
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0737894{col 29}{space 2} .2980435{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}-.6579439{col 70}{space 3} .5103651
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1529983{col 29}{space 2} .0720902{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.2942925{col 70}{space 3}-.0117042
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}-.2555315{col 29}{space 2}  .459411{col 40}{space 1}   -0.56{col 49}{space 3}0.578{col 57}{space 4} -1.15596{col 70}{space 3} .6448975
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.364009{col 29}{space 2} 1.871292{col 40}{space 1}   -1.80{col 49}{space 3}0.072{col 57}{space 4}-7.031674{col 70}{space 3} .3036558
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.9819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.5084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3559.8632}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3556.4978}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3556.4802}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3556.4802}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   1955.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3556.4802{txt}{col 51}Pseudo R2{col 67}= {res}    0.4026

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0104298{col 29}{space 2} .0032965{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0039688{col 70}{space 3} .0168908
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3921635{col 29}{space 2} .4146873{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4206087{col 70}{space 3} 1.204936
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2034974{col 29}{space 2} .4930762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.7629142{col 70}{space 3} 1.169909
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.2411867{col 29}{space 2} .1617586{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.5582278{col 70}{space 3} .0758544
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7153627{col 29}{space 2} .3645961{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.429958{col 70}{space 3}-.0007675
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.473321{col 29}{space 2} .3973674{col 40}{space 1}    6.22{col 49}{space 3}0.000{col 57}{space 4} 1.694495{col 70}{space 3} 3.252147
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.99065{col 29}{space 2} 6.010407{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  6.21047{col 70}{space 3} 29.77083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.509019{col 29}{space 2} .3809738{col 40}{space 1}   11.84{col 49}{space 3}0.000{col 57}{space 4} 3.762324{col 70}{space 3} 5.255714
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0107856{col 29}{space 2} .0191908{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.0268277{col 70}{space 3} .0483989
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .022811{col 29}{space 2} .0196212{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0156459{col 70}{space 3} .0612679
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0386626{col 29}{space 2} .0243497{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -.086387{col 70}{space 3} .0090619
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5457277{col 29}{space 2} .2361993{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .0827855{col 70}{space 3}  1.00867
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0526721{col 29}{space 2} .0526391{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.1558429{col 70}{space 3} .0504987
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}  2.80676{col 29}{space 2} .5228786{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} 1.781937{col 70}{space 3} 3.831584
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}  -.59016{col 29}{space 2} .0545701{col 40}{space 1}  -10.81{col 49}{space 3}0.000{col 57}{space 4}-.6971154{col 70}{space 3}-.4832046
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0373411{col 29}{space 2} .0041273{col 40}{space 1}    9.05{col 49}{space 3}0.000{col 57}{space 4} .0292517{col 70}{space 3} .0454305
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000706{col 29}{space 2}   .00009{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-.0008825{col 70}{space 3}-.0005295
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-14.56066{col 29}{space 2} 1.356919{col 40}{space 1}  -10.73{col 49}{space 3}0.000{col 57}{space 4}-17.22017{col 70}{space 3}-11.90115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp AddRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -221.0399}  
Iteration 1:{space 3}log pseudolikelihood = {res:-155.76807}  
Iteration 2:{space 3}log pseudolikelihood = {res:-140.47987}  
Iteration 3:{space 3}log pseudolikelihood = {res:-134.04262}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.70691}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.69987}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.69986}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     54.62
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-133.69986{txt}{col 51}Pseudo R2{col 67}= {res}    0.3951

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AddRestrictions {c |}{col 28}{res}{space 2} -.024356{col 40}{space 2} .0115552{col 51}{space 1}   -2.11{col 60}{space 3}0.035{col 68}{space 4}-.0470038{col 81}{space 3}-.0017082
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} .9726069{col 40}{space 2} 1.278507{col 51}{space 1}    0.76{col 60}{space 3}0.447{col 68}{space 4}-1.533222{col 81}{space 3} 3.478435
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.1150306{col 40}{space 2}    .7546{col 51}{space 1}   -0.15{col 60}{space 3}0.879{col 68}{space 4}-1.594019{col 81}{space 3} 1.363958
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2}-1.071879{col 40}{space 2} .9337821{col 51}{space 1}   -1.15{col 60}{space 3}0.251{col 68}{space 4}-2.902058{col 81}{space 3} .7583006
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.661684{col 40}{space 2} .7639335{col 51}{space 1}   -3.48{col 60}{space 3}0.000{col 68}{space 4}-4.158966{col 81}{space 3}-1.164402
{txt}{space 24}4  {c |}{col 28}{res}{space 2}-1.295596{col 40}{space 2}  1.38054{col 51}{space 1}   -0.94{col 60}{space 3}0.348{col 68}{space 4}-4.001405{col 81}{space 3} 1.410214
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.774307{col 40}{space 2}  .984332{col 51}{space 1}    1.80{col 60}{space 3}0.071{col 68}{space 4}-.1549484{col 81}{space 3} 3.703562
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2} .0305183{col 40}{space 2}  .099364{col 51}{space 1}    0.31{col 60}{space 3}0.759{col 68}{space 4}-.1642316{col 81}{space 3} .2252682
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2} .1063879{col 40}{space 2} .1313673{col 51}{space 1}    0.81{col 60}{space 3}0.418{col 68}{space 4}-.1510873{col 81}{space 3} .3638631
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}-1.906855{col 40}{space 2} 1.232396{col 51}{space 1}   -1.55{col 60}{space 3}0.122{col 68}{space 4}-4.322308{col 81}{space 3}  .508597
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.6474339{col 40}{space 2} .9993068{col 51}{space 1}   -0.65{col 60}{space 3}0.517{col 68}{space 4}-2.606039{col 81}{space 3} 1.311172
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.220087{col 40}{space 2} 1.106027{col 51}{space 1}    2.01{col 60}{space 3}0.045{col 68}{space 4} .0523139{col 81}{space 3} 4.387861
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.870624{col 40}{space 2} 1.220326{col 51}{space 1}    1.53{col 60}{space 3}0.125{col 68}{space 4}-.5211715{col 81}{space 3}  4.26242
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-155.5878{col 40}{space 2} 209.3727{col 51}{space 1}   -0.74{col 60}{space 3}0.457{col 68}{space 4}-565.9507{col 81}{space 3} 254.7752
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.1236693{col 40}{space 2} .8928611{col 51}{space 1}   -0.14{col 60}{space 3}0.890{col 68}{space 4}-1.873645{col 81}{space 3} 1.626306
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .2242012{col 40}{space 2} .2036803{col 51}{space 1}    1.10{col 60}{space 3}0.271{col 68}{space 4}-.1750048{col 81}{space 3} .6234073
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0490054{col 40}{space 2}  .084474{col 51}{space 1}   -0.58{col 60}{space 3}0.562{col 68}{space 4}-.2145715{col 81}{space 3} .1165607
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.0936938{col 40}{space 2} .0780007{col 51}{space 1}   -1.20{col 60}{space 3}0.230{col 68}{space 4}-.2465723{col 81}{space 3} .0591847
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.1854241{col 40}{space 2} .8049145{col 51}{space 1}   -0.23{col 60}{space 3}0.818{col 68}{space 4}-1.763028{col 81}{space 3} 1.392179
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .1673706{col 40}{space 2}  .133457{col 51}{space 1}    1.25{col 60}{space 3}0.210{col 68}{space 4}-.0942003{col 81}{space 3} .4289415
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2} .0858478{col 40}{space 2} .5968286{col 51}{space 1}    0.14{col 60}{space 3}0.886{col 68}{space 4}-1.083915{col 81}{space 3}  1.25561
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-6.783414{col 40}{space 2} 3.610459{col 51}{space 1}   -1.88{col 60}{space 3}0.060{col 68}{space 4}-13.85978{col 81}{space 3} .2929556
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.9819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.5084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3559.8632}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3556.4978}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3556.4802}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3556.4802}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   1955.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3556.4802{txt}{col 51}Pseudo R2{col 67}= {res}    0.4026

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0104298{col 29}{space 2} .0032965{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0039688{col 70}{space 3} .0168908
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3921635{col 29}{space 2} .4146873{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4206087{col 70}{space 3} 1.204936
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2034974{col 29}{space 2} .4930762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.7629142{col 70}{space 3} 1.169909
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.2411867{col 29}{space 2} .1617586{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.5582278{col 70}{space 3} .0758544
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7153627{col 29}{space 2} .3645961{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.429958{col 70}{space 3}-.0007675
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.473321{col 29}{space 2} .3973674{col 40}{space 1}    6.22{col 49}{space 3}0.000{col 57}{space 4} 1.694495{col 70}{space 3} 3.252147
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.99065{col 29}{space 2} 6.010407{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  6.21047{col 70}{space 3} 29.77083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.509019{col 29}{space 2} .3809738{col 40}{space 1}   11.84{col 49}{space 3}0.000{col 57}{space 4} 3.762324{col 70}{space 3} 5.255714
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0107856{col 29}{space 2} .0191908{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.0268277{col 70}{space 3} .0483989
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .022811{col 29}{space 2} .0196212{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0156459{col 70}{space 3} .0612679
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0386626{col 29}{space 2} .0243497{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -.086387{col 70}{space 3} .0090619
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5457277{col 29}{space 2} .2361993{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .0827855{col 70}{space 3}  1.00867
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0526721{col 29}{space 2} .0526391{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.1558429{col 70}{space 3} .0504987
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}  2.80676{col 29}{space 2} .5228786{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} 1.781937{col 70}{space 3} 3.831584
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}  -.59016{col 29}{space 2} .0545701{col 40}{space 1}  -10.81{col 49}{space 3}0.000{col 57}{space 4}-.6971154{col 70}{space 3}-.4832046
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0373411{col 29}{space 2} .0041273{col 40}{space 1}    9.05{col 49}{space 3}0.000{col 57}{space 4} .0292517{col 70}{space 3} .0454305
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000706{col 29}{space 2}   .00009{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-.0008825{col 70}{space 3}-.0005295
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-14.56066{col 29}{space 2} 1.356919{col 40}{space 1}  -10.73{col 49}{space 3}0.000{col 57}{space 4}-17.22017{col 70}{space 3}-11.90115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp AddRestrictions MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -302.9375}  
Iteration 1:{space 3}log pseudolikelihood = {res:-223.17753}  
Iteration 2:{space 3}log pseudolikelihood = {res:-217.56094}  
Iteration 3:{space 3}log pseudolikelihood = {res: -217.4297}  
Iteration 4:{space 3}log pseudolikelihood = {res:-217.42956}  
Iteration 5:{space 3}log pseudolikelihood = {res:-217.42956}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       517
{txt}{col 51}Wald chi2({res}21{txt}){col 67}= {res}     72.28
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-217.42956{txt}{col 51}Pseudo R2{col 67}= {res}    0.2823

{txt}{ralign 92:(Std. Err. adjusted for {res:161} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}AddRestrictions {c |}{col 28}{res}{space 2} .0076686{col 40}{space 2} .0111548{col 51}{space 1}    0.69{col 60}{space 3}0.492{col 68}{space 4}-.0141945{col 81}{space 3} .0295317
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.019976{col 40}{space 2} 1.564452{col 51}{space 1}   -0.65{col 60}{space 3}0.514{col 68}{space 4}-4.086245{col 81}{space 3} 2.046294
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} -.362253{col 40}{space 2} .6393872{col 51}{space 1}   -0.57{col 60}{space 3}0.571{col 68}{space 4}-1.615429{col 81}{space 3}  .890923
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 2.122453{col 40}{space 2} .8463887{col 51}{space 1}    2.51{col 60}{space 3}0.012{col 68}{space 4} .4635612{col 81}{space 3} 3.781344
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .5989809{col 40}{space 2} .7366965{col 51}{space 1}    0.81{col 60}{space 3}0.416{col 68}{space 4}-.8449178{col 81}{space 3}  2.04288
{txt}{space 24}4  {c |}{col 28}{res}{space 2}  2.85274{col 40}{space 2} 1.155727{col 51}{space 1}    2.47{col 60}{space 3}0.014{col 68}{space 4}  .587556{col 81}{space 3} 5.117924
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-.0914608{col 40}{space 2} .9782506{col 51}{space 1}   -0.09{col 60}{space 3}0.926{col 68}{space 4}-2.008797{col 81}{space 3} 1.825875
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.1403932{col 40}{space 2} .0922028{col 51}{space 1}   -1.52{col 60}{space 3}0.128{col 68}{space 4}-.3211074{col 81}{space 3}  .040321
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0603187{col 40}{space 2} .0879655{col 51}{space 1}   -0.69{col 60}{space 3}0.493{col 68}{space 4}-.2327279{col 81}{space 3} .1120905
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2} 1.208251{col 40}{space 2} 1.037534{col 51}{space 1}    1.16{col 60}{space 3}0.244{col 68}{space 4}-.8252786{col 81}{space 3} 3.241781
{txt}{space 23}WTO {c |}{col 28}{res}{space 2}-.1364451{col 40}{space 2} .5734863{col 51}{space 1}   -0.24{col 60}{space 3}0.812{col 68}{space 4}-1.260458{col 81}{space 3} .9875674
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.515224{col 40}{space 2} .9170317{col 51}{space 1}    1.65{col 60}{space 3}0.098{col 68}{space 4}-.2821249{col 81}{space 3} 3.312573
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .5107606{col 40}{space 2} .7461479{col 51}{space 1}    0.68{col 60}{space 3}0.494{col 68}{space 4}-.9516624{col 81}{space 3} 1.973184
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-29.06922{col 40}{space 2} 23.85649{col 51}{space 1}   -1.22{col 60}{space 3}0.223{col 68}{space 4}-75.82709{col 81}{space 3} 17.68865
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-2.187912{col 40}{space 2} .5137375{col 51}{space 1}   -4.26{col 60}{space 3}0.000{col 68}{space 4}-3.194819{col 81}{space 3}-1.181005
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1442278{col 40}{space 2}    .0528{col 51}{space 1}   -2.73{col 60}{space 3}0.006{col 68}{space 4} -.247714{col 81}{space 3}-.0407417
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0634996{col 40}{space 2} .0523071{col 51}{space 1}   -1.21{col 60}{space 3}0.225{col 68}{space 4}-.1660196{col 81}{space 3} .0390204
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} -.087096{col 40}{space 2} .0554963{col 51}{space 1}   -1.57{col 60}{space 3}0.117{col 68}{space 4}-.1958668{col 81}{space 3} .0216748
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.5974572{col 40}{space 2} .4833634{col 51}{space 1}   -1.24{col 60}{space 3}0.216{col 68}{space 4}-1.544832{col 81}{space 3} .3499176
{txt}{space 18}capratio {c |}{col 28}{res}{space 2}  .291698{col 40}{space 2} .1010294{col 51}{space 1}    2.89{col 60}{space 3}0.004{col 68}{space 4}  .093684{col 81}{space 3} .4897121
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.3383779{col 40}{space 2} .6119636{col 51}{space 1}   -0.55{col 60}{space 3}0.580{col 68}{space 4}-1.537804{col 81}{space 3} .8610487
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} -2.47134{col 40}{space 2} 2.412479{col 51}{space 1}   -1.02{col 60}{space 3}0.306{col 68}{space 4}-7.199711{col 81}{space 3} 2.257032
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table4 , word label title(Table 4: Level of Restrictions for Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table4.rtf"'"':Table4.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table4.txt", label"':seeout}

{com}. 
. 
. 
. 
. 
. ****Table 5****
. *Models 1 and 2*
. heckprob imposition FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, sel(threat=FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i) vce(cluster dyadid)

{txt}Fitting probit model:

note: IMF != 1 predicts success perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-516.78135}  
Iteration 1:{space 3}log pseudolikelihood = {res:-468.85383}  
Iteration 2:{space 3}log pseudolikelihood = {res:-468.55582}  
Iteration 3:{space 3}log pseudolikelihood = {res:-468.55578}  
{res}
{txt}Fitting selection model:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5999.961}  
Iteration 1:{space 3}log pseudolikelihood = {res: -4532.394}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3423.3153}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3395.8215}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3395.5017}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3395.5017}  
{res}
{txt}Fitting starting values:

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-572.53957}  
Iteration 1:{space 3}log pseudolikelihood = {res:-466.30811}  
Iteration 2:{space 3}log pseudolikelihood = {res:-465.78823}  
Iteration 3:{space 3}log pseudolikelihood = {res:-465.75371}  
Iteration 4:{space 3}log pseudolikelihood = {res:-465.74891}  
Iteration 5:{space 3}log pseudolikelihood = {res:-465.74818}  
Iteration 6:{space 3}log pseudolikelihood = {res:-465.74808}  
Iteration 7:{space 3}log pseudolikelihood = {res:-465.74806}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3861.5684}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3861.2672}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3861.2659}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3861.2659}  
{res}
{txt}Probit model with sample selection              Number of obs      = {res}   434270
{txt}                                                Censored obs       = {res}   433444
                                                {txt}Uncensored obs     = {res}      826

{col 49}{help j_robustsingular##|_new:Wald chi2(12){col 68}= }{col 70}        .
{txt}Log pseudolikelihood = {res}-3861.266                {txt}Prob > chi2        =    {res}     .

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}imposition      {txt}{c |}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0987929{col 29}{space 2} .0340281{col 40}{space 1}    2.90{col 49}{space 3}0.004{col 57}{space 4}  .032099{col 70}{space 3} .1654869
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3661225{col 29}{space 2} .4975135{col 40}{space 1}    0.74{col 49}{space 3}0.462{col 57}{space 4}-.6089861{col 70}{space 3} 1.341231
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-5.529242{col 29}{space 2} .5146342{col 40}{space 1}  -10.74{col 49}{space 3}0.000{col 57}{space 4}-6.537906{col 70}{space 3}-4.520577
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .1779019{col 29}{space 2} .1460663{col 40}{space 1}    1.22{col 49}{space 3}0.223{col 57}{space 4}-.1083828{col 70}{space 3} .4641866
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7827285{col 29}{space 2} .2105681{col 40}{space 1}   -3.72{col 49}{space 3}0.000{col 57}{space 4}-1.195434{col 70}{space 3}-.3700225
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} .8000261{col 29}{space 2} .2896927{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} .2322389{col 70}{space 3} 1.367813
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}-3.178775{col 29}{space 2} 5.739577{col 40}{space 1}   -0.55{col 49}{space 3}0.580{col 57}{space 4}-14.42814{col 70}{space 3} 8.070589
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 1.256295{col 29}{space 2} .3253148{col 40}{space 1}    3.86{col 49}{space 3}0.000{col 57}{space 4} .6186895{col 70}{space 3}   1.8939
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2}-.0043201{col 29}{space 2}  .018217{col 40}{space 1}   -0.24{col 49}{space 3}0.813{col 57}{space 4}-.0400247{col 70}{space 3} .0313846
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0211006{col 29}{space 2}  .016787{col 40}{space 1}    1.26{col 49}{space 3}0.209{col 57}{space 4}-.0118013{col 70}{space 3} .0540026
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2} .0263081{col 29}{space 2} .0201515{col 40}{space 1}    1.31{col 49}{space 3}0.192{col 57}{space 4}-.0131881{col 70}{space 3} .0658043
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2}-.0582371{col 29}{space 2} .1776473{col 40}{space 1}   -0.33{col 49}{space 3}0.743{col 57}{space 4}-.4064194{col 70}{space 3} .2899453
{txt}{space 7}capratio {c |}{col 17}{res}{space 2} -.132386{col 29}{space 2} .0430941{col 40}{space 1}   -3.07{col 49}{space 3}0.002{col 57}{space 4} -.216849{col 70}{space 3}-.0479231
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} .1505107{col 29}{space 2} .2957869{col 40}{space 1}    0.51{col 49}{space 3}0.611{col 57}{space 4}-.4292209{col 70}{space 3} .7302423
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 1.172106{col 29}{space 2} 1.614503{col 40}{space 1}    0.73{col 49}{space 3}0.468{col 57}{space 4}-1.992263{col 70}{space 3} 4.336474
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}threat          {txt}{c |}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0394627{col 29}{space 2}  .025942{col 40}{space 1}    1.52{col 49}{space 3}0.128{col 57}{space 4}-.0113827{col 70}{space 3} .0903081
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .2827228{col 29}{space 2}  .164841{col 40}{space 1}    1.72{col 49}{space 3}0.086{col 57}{space 4}-.0403596{col 70}{space 3} .6058052
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .4615677{col 29}{space 2} .2113928{col 40}{space 1}    2.18{col 49}{space 3}0.029{col 57}{space 4} .0472455{col 70}{space 3}   .87589
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.1147789{col 29}{space 2} .0643375{col 40}{space 1}   -1.78{col 49}{space 3}0.074{col 57}{space 4} -.240878{col 70}{space 3} .0113202
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.2285189{col 29}{space 2} .1169389{col 40}{space 1}   -1.95{col 49}{space 3}0.051{col 57}{space 4} -.457715{col 70}{space 3} .0006772
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.116055{col 29}{space 2} .1301574{col 40}{space 1}    8.57{col 49}{space 3}0.000{col 57}{space 4} .8609517{col 70}{space 3} 1.371159
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 9.071312{col 29}{space 2} 2.737281{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4}  3.70634{col 70}{space 3} 14.43628
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 2.078408{col 29}{space 2} .1346238{col 40}{space 1}   15.44{col 49}{space 3}0.000{col 57}{space 4}  1.81455{col 70}{space 3} 2.342265
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0073918{col 29}{space 2} .0059482{col 40}{space 1}    1.24{col 49}{space 3}0.214{col 57}{space 4}-.0042664{col 70}{space 3}   .01905
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0158117{col 29}{space 2} .0061838{col 40}{space 1}    2.56{col 49}{space 3}0.011{col 57}{space 4} .0036918{col 70}{space 3} .0279317
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0258646{col 29}{space 2} .0110146{col 40}{space 1}   -2.35{col 49}{space 3}0.019{col 57}{space 4}-.0474528{col 70}{space 3}-.0042763
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .1134535{col 29}{space 2} .0792484{col 40}{space 1}    1.43{col 49}{space 3}0.152{col 57}{space 4}-.0418705{col 70}{space 3} .2687775
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0321291{col 29}{space 2} .0147948{col 40}{space 1}   -2.17{col 49}{space 3}0.030{col 57}{space 4}-.0611263{col 70}{space 3}-.0031318
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 1.153191{col 29}{space 2}  .172585{col 40}{space 1}    6.68{col 49}{space 3}0.000{col 57}{space 4} .8149306{col 70}{space 3} 1.491451
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.2233848{col 29}{space 2} .0219814{col 40}{space 1}  -10.16{col 49}{space 3}0.000{col 57}{space 4}-.2664675{col 70}{space 3}-.1803021
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0128931{col 29}{space 2} .0015939{col 40}{space 1}    8.09{col 49}{space 3}0.000{col 57}{space 4} .0097691{col 70}{space 3}  .016017
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0002302{col 29}{space 2}  .000034{col 40}{space 1}   -6.77{col 49}{space 3}0.000{col 57}{space 4}-.0002968{col 70}{space 3}-.0001635
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-6.520614{col 29}{space 2} .4750458{col 40}{space 1}  -13.73{col 49}{space 3}0.000{col 57}{space 4}-7.451686{col 70}{space 3}-5.589541
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
        /athrho {c |}{col 17}{res}{space 2} .3593177{col 29}{space 2} .1818876{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} .0028245{col 70}{space 3} .7158109
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            rho{col 17}{c |}{res}{space 2} .3446129{col 29}{space 2}  .160287{col 57}{space 4} .0028245{col 70}{space 3} .6143078
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    3.90   {txt}Prob > chi2 = {res}0.0482
{txt}
{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 3*
. logit threat FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5999.961}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4150.0118}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3535.0824}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3414.0024}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3411.5914}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3411.5863}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3411.5863}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2187.08
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3411.5863{txt}{col 51}Pseudo R2{col 67}= {res}    0.4314

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0586659{col 29}{space 2} .0678783{col 40}{space 1}    0.86{col 49}{space 3}0.387{col 57}{space 4}-.0743731{col 70}{space 3} .1917048
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .7167054{col 29}{space 2} .4107088{col 40}{space 1}    1.75{col 49}{space 3}0.081{col 57}{space 4} -.088269{col 70}{space 3}  1.52168
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.394561{col 29}{space 2} .5383306{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .3394521{col 70}{space 3} 2.449669
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3330814{col 29}{space 2} .1574299{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.6416384{col 70}{space 3}-.0245245
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5736092{col 29}{space 2} .3249275{col 40}{space 1}   -1.77{col 49}{space 3}0.078{col 57}{space 4}-1.210455{col 70}{space 3}  .063237
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.946533{col 29}{space 2} .3734066{col 40}{space 1}    7.89{col 49}{space 3}0.000{col 57}{space 4}  2.21467{col 70}{space 3} 3.678397
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}  19.5558{col 29}{space 2} 6.383077{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4}   7.0452{col 70}{space 3}  32.0664
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.184574{col 29}{space 2} .3685682{col 40}{space 1}   14.07{col 49}{space 3}0.000{col 57}{space 4} 4.462193{col 70}{space 3} 5.906954
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0260794{col 29}{space 2} .0191636{col 40}{space 1}    1.36{col 49}{space 3}0.174{col 57}{space 4}-.0114806{col 70}{space 3} .0636395
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0554534{col 29}{space 2} .0209318{col 40}{space 1}    2.65{col 49}{space 3}0.008{col 57}{space 4} .0144278{col 70}{space 3}  .096479
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0870007{col 29}{space 2} .0269225{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4}-.1397678{col 70}{space 3}-.0342336
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2412617{col 29}{space 2} .2133084{col 40}{space 1}    1.13{col 49}{space 3}0.258{col 57}{space 4}-.1768152{col 70}{space 3} .6593385
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0904286{col 29}{space 2} .0436379{col 40}{space 1}   -2.07{col 49}{space 3}0.038{col 57}{space 4}-.1759573{col 70}{space 3}   -.0049
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.873611{col 29}{space 2} .5112457{col 40}{space 1}    5.62{col 49}{space 3}0.000{col 57}{space 4} 1.871588{col 70}{space 3} 3.875634
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5061578{col 29}{space 2} .0603201{col 40}{space 1}   -8.39{col 49}{space 3}0.000{col 57}{space 4}-.6243831{col 70}{space 3}-.3879326
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0303095{col 29}{space 2} .0042802{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4} .0219205{col 70}{space 3} .0386985
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0005568{col 29}{space 2} .0000902{col 40}{space 1}   -6.17{col 49}{space 3}0.000{col 57}{space 4}-.0007336{col 70}{space 3}-.0003801
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-16.64799{col 29}{space 2}  1.31416{col 40}{space 1}  -12.67{col 49}{space 3}0.000{col 57}{space 4} -19.2237{col 70}{space 3}-14.07228
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 4*
. logit imposition FinOpen BIT WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-519.05267}  
Iteration 1:{space 3}log pseudolikelihood = {res:-472.13014}  
Iteration 2:{space 3}log pseudolikelihood = {res:-471.18763}  
Iteration 3:{space 3}log pseudolikelihood = {res:-471.18462}  
Iteration 4:{space 3}log pseudolikelihood = {res:-471.18462}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       826
{txt}{col 51}Wald chi2({res}13{txt}){col 67}= {res}     54.00
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-471.18462{txt}{col 51}Pseudo R2{col 67}= {res}    0.0922

{txt}{ralign 79:(Std. Err. adjusted for {res:228} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1517801{col 27}{space 2} .0632714{col 38}{space 1}    2.40{col 47}{space 3}0.016{col 55}{space 4} .0277705{col 68}{space 3} .2757897
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .476383{col 27}{space 2} .8989778{col 38}{space 1}    0.53{col 47}{space 3}0.596{col 55}{space 4}-1.285581{col 68}{space 3} 2.238347
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .3558735{col 27}{space 2} .2561315{col 38}{space 1}    1.39{col 47}{space 3}0.165{col 55}{space 4} -.146135{col 68}{space 3} .8578821
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.321626{col 27}{space 2} .3888492{col 38}{space 1}   -3.40{col 47}{space 3}0.001{col 55}{space 4}-2.083756{col 68}{space 3}-.5594957
{txt}igomember_log {c |}{col 15}{res}{space 2} .8793958{col 27}{space 2} .4938832{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4}-.0885976{col 68}{space 3} 1.847389
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-8.768411{col 27}{space 2} 9.570932{col 38}{space 1}   -0.92{col 47}{space 3}0.360{col 55}{space 4}-27.52709{col 68}{space 3} 9.990271
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .9783222{col 27}{space 2} .3927296{col 38}{space 1}    2.49{col 47}{space 3}0.013{col 55}{space 4} .2085863{col 68}{space 3} 1.748058
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.004242{col 27}{space 2} .0326864{col 38}{space 1}   -0.13{col 47}{space 3}0.897{col 55}{space 4}-.0683062{col 68}{space 3} .0598221
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0355182{col 27}{space 2} .0306135{col 38}{space 1}    1.16{col 47}{space 3}0.246{col 55}{space 4}-.0244832{col 68}{space 3} .0955195
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0627313{col 27}{space 2} .0381931{col 38}{space 1}    1.64{col 47}{space 3}0.100{col 55}{space 4}-.0121257{col 68}{space 3} .1375884
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1453459{col 27}{space 2} .3099907{col 38}{space 1}   -0.47{col 47}{space 3}0.639{col 55}{space 4}-.7529165{col 68}{space 3} .4622246
{txt}{space 5}capratio {c |}{col 15}{res}{space 2} -.200267{col 27}{space 2} .0765964{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4}-.3503931{col 68}{space 3}-.0501409
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.3209757{col 27}{space 2} .4678367{col 38}{space 1}   -0.69{col 47}{space 3}0.493{col 55}{space 4}-1.237919{col 68}{space 3} .5959674
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.815588{col 27}{space 2} 1.717829{col 38}{space 1}   -2.22{col 47}{space 3}0.026{col 55}{space 4}-7.182471{col 68}{space 3}-.4487062
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 5*
. logit threat FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5999.961}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4150.0118}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3535.0824}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3414.0024}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3411.5914}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3411.5863}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3411.5863}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2187.08
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3411.5863{txt}{col 51}Pseudo R2{col 67}= {res}    0.4314

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0586659{col 29}{space 2} .0678783{col 40}{space 1}    0.86{col 49}{space 3}0.387{col 57}{space 4}-.0743731{col 70}{space 3} .1917048
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .7167054{col 29}{space 2} .4107088{col 40}{space 1}    1.75{col 49}{space 3}0.081{col 57}{space 4} -.088269{col 70}{space 3}  1.52168
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.394561{col 29}{space 2} .5383306{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .3394521{col 70}{space 3} 2.449669
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3330814{col 29}{space 2} .1574299{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.6416384{col 70}{space 3}-.0245245
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5736092{col 29}{space 2} .3249275{col 40}{space 1}   -1.77{col 49}{space 3}0.078{col 57}{space 4}-1.210455{col 70}{space 3}  .063237
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.946533{col 29}{space 2} .3734066{col 40}{space 1}    7.89{col 49}{space 3}0.000{col 57}{space 4}  2.21467{col 70}{space 3} 3.678397
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}  19.5558{col 29}{space 2} 6.383077{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4}   7.0452{col 70}{space 3}  32.0664
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.184574{col 29}{space 2} .3685682{col 40}{space 1}   14.07{col 49}{space 3}0.000{col 57}{space 4} 4.462193{col 70}{space 3} 5.906954
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0260794{col 29}{space 2} .0191636{col 40}{space 1}    1.36{col 49}{space 3}0.174{col 57}{space 4}-.0114806{col 70}{space 3} .0636395
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0554534{col 29}{space 2} .0209318{col 40}{space 1}    2.65{col 49}{space 3}0.008{col 57}{space 4} .0144278{col 70}{space 3}  .096479
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0870007{col 29}{space 2} .0269225{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4}-.1397678{col 70}{space 3}-.0342336
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2412617{col 29}{space 2} .2133084{col 40}{space 1}    1.13{col 49}{space 3}0.258{col 57}{space 4}-.1768152{col 70}{space 3} .6593385
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0904286{col 29}{space 2} .0436379{col 40}{space 1}   -2.07{col 49}{space 3}0.038{col 57}{space 4}-.1759573{col 70}{space 3}   -.0049
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.873611{col 29}{space 2} .5112457{col 40}{space 1}    5.62{col 49}{space 3}0.000{col 57}{space 4} 1.871588{col 70}{space 3} 3.875634
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5061578{col 29}{space 2} .0603201{col 40}{space 1}   -8.39{col 49}{space 3}0.000{col 57}{space 4}-.6243831{col 70}{space 3}-.3879326
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0303095{col 29}{space 2} .0042802{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4} .0219205{col 70}{space 3} .0386985
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0005568{col 29}{space 2} .0000902{col 40}{space 1}   -6.17{col 49}{space 3}0.000{col 57}{space 4}-.0007336{col 70}{space 3}-.0003801
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-16.64799{col 29}{space 2}  1.31416{col 40}{space 1}  -12.67{col 49}{space 3}0.000{col 57}{space 4} -19.2237{col 70}{space 3}-14.07228
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 6*
. logit ExecImp FinOpen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat  BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-251.20638}  
Iteration 1:{space 3}log pseudolikelihood = {res:-155.89275}  
Iteration 2:{space 3}log pseudolikelihood = {res:-138.66704}  
Iteration 3:{space 3}log pseudolikelihood = {res:-133.66084}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.39536}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.39123}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.39123}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       511
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}     61.94
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.39123{txt}{col 51}Pseudo R2{col 67}= {res}    0.4690

{txt}{ralign 92:(Std. Err. adjusted for {res:162} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   ExecImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}FinOpen {c |}{col 28}{res}{space 2}-.4219914{col 40}{space 2} .1959597{col 51}{space 1}   -2.15{col 60}{space 3}0.031{col 68}{space 4}-.8060654{col 81}{space 3}-.0379174
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2} 2.780718{col 40}{space 2} 1.226071{col 51}{space 1}    2.27{col 60}{space 3}0.023{col 68}{space 4} .3776643{col 81}{space 3} 5.183773
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2}-.2194049{col 40}{space 2} .7127403{col 51}{space 1}   -0.31{col 60}{space 3}0.758{col 68}{space 4} -1.61635{col 81}{space 3}  1.17754
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} -3.15633{col 40}{space 2} 1.422868{col 51}{space 1}   -2.22{col 60}{space 3}0.027{col 68}{space 4}  -5.9451{col 81}{space 3}-.3675604
{txt}{space 24}3  {c |}{col 28}{res}{space 2}-2.883329{col 40}{space 2} .7518467{col 51}{space 1}   -3.83{col 60}{space 3}0.000{col 68}{space 4}-4.356921{col 81}{space 3}-1.409736
{txt}{space 24}4  {c |}{col 28}{res}{space 2} -1.76616{col 40}{space 2} 1.201839{col 51}{space 1}   -1.47{col 60}{space 3}0.142{col 68}{space 4}-4.121722{col 81}{space 3} .5894014
{txt}{space 24}5  {c |}{col 28}{res}{space 2} 1.421772{col 40}{space 2} 1.003006{col 51}{space 1}    1.42{col 60}{space 3}0.156{col 68}{space 4}-.5440826{col 81}{space 3} 3.387627
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}  .001095{col 40}{space 2} .0944362{col 51}{space 1}    0.01{col 60}{space 3}0.991{col 68}{space 4}-.1839966{col 81}{space 3} .1861867
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}-.0080764{col 40}{space 2} .1379791{col 51}{space 1}   -0.06{col 60}{space 3}0.953{col 68}{space 4}-.2785105{col 81}{space 3} .2623578
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-.8060087{col 40}{space 2} .9945547{col 51}{space 1}   -0.81{col 60}{space 3}0.418{col 68}{space 4}  -2.7553{col 81}{space 3} 1.143283
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 2.134953{col 40}{space 2} 1.109977{col 51}{space 1}    1.92{col 60}{space 3}0.054{col 68}{space 4}-.0405616{col 81}{space 3} 4.310468
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} 1.848125{col 40}{space 2} 1.390142{col 51}{space 1}    1.33{col 60}{space 3}0.184{col 68}{space 4}-.8765034{col 81}{space 3} 4.572753
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-119.8383{col 40}{space 2} 167.0909{col 51}{space 1}   -0.72{col 60}{space 3}0.473{col 68}{space 4}-447.3304{col 81}{space 3} 207.6537
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-.7518805{col 40}{space 2} .8445737{col 51}{space 1}   -0.89{col 60}{space 3}0.373{col 68}{space 4}-2.407214{col 81}{space 3} .9034534
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2} .1830689{col 40}{space 2} .1187356{col 51}{space 1}    1.54{col 60}{space 3}0.123{col 68}{space 4}-.0496486{col 81}{space 3} .4157863
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.1331691{col 40}{space 2} .0974904{col 51}{space 1}   -1.37{col 60}{space 3}0.172{col 68}{space 4}-.3242469{col 81}{space 3} .0579086
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2} -.004851{col 40}{space 2} .0777098{col 51}{space 1}   -0.06{col 60}{space 3}0.950{col 68}{space 4}-.1571594{col 81}{space 3} .1474575
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2} .2072401{col 40}{space 2} .8312161{col 51}{space 1}    0.25{col 60}{space 3}0.803{col 68}{space 4}-1.421913{col 81}{space 3} 1.836394
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2355717{col 40}{space 2} .1531362{col 51}{space 1}    1.54{col 60}{space 3}0.124{col 68}{space 4}-.0645696{col 81}{space 3} .5357131
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.1143537{col 40}{space 2} .6149999{col 51}{space 1}   -0.19{col 60}{space 3}0.852{col 68}{space 4}-1.319731{col 81}{space 3} 1.091024
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-10.09849{col 40}{space 2} 5.013912{col 51}{space 1}   -2.01{col 60}{space 3}0.044{col 68}{space 4}-19.92558{col 81}{space 3}-.2714073
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 7*
. logit threat FinOpen BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -5999.961}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4150.0118}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3535.0824}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3414.0024}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3411.5914}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3411.5863}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3411.5863}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    434270
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   2187.08
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3411.5863{txt}{col 51}Pseudo R2{col 67}= {res}    0.4314

{txt}{ralign 81:(Std. Err. adjusted for {res:22052} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}FinOpen {c |}{col 17}{res}{space 2} .0586659{col 29}{space 2} .0678783{col 40}{space 1}    0.86{col 49}{space 3}0.387{col 57}{space 4}-.0743731{col 70}{space 3} .1917048
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .7167054{col 29}{space 2} .4107088{col 40}{space 1}    1.75{col 49}{space 3}0.081{col 57}{space 4} -.088269{col 70}{space 3}  1.52168
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} 1.394561{col 29}{space 2} .5383306{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .3394521{col 70}{space 3} 2.449669
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3330814{col 29}{space 2} .1574299{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-.6416384{col 70}{space 3}-.0245245
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.5736092{col 29}{space 2} .3249275{col 40}{space 1}   -1.77{col 49}{space 3}0.078{col 57}{space 4}-1.210455{col 70}{space 3}  .063237
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.946533{col 29}{space 2} .3734066{col 40}{space 1}    7.89{col 49}{space 3}0.000{col 57}{space 4}  2.21467{col 70}{space 3} 3.678397
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2}  19.5558{col 29}{space 2} 6.383077{col 40}{space 1}    3.06{col 49}{space 3}0.002{col 57}{space 4}   7.0452{col 70}{space 3}  32.0664
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.184574{col 29}{space 2} .3685682{col 40}{space 1}   14.07{col 49}{space 3}0.000{col 57}{space 4} 4.462193{col 70}{space 3} 5.906954
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0260794{col 29}{space 2} .0191636{col 40}{space 1}    1.36{col 49}{space 3}0.174{col 57}{space 4}-.0114806{col 70}{space 3} .0636395
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0554534{col 29}{space 2} .0209318{col 40}{space 1}    2.65{col 49}{space 3}0.008{col 57}{space 4} .0144278{col 70}{space 3}  .096479
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0870007{col 29}{space 2} .0269225{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4}-.1397678{col 70}{space 3}-.0342336
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .2412617{col 29}{space 2} .2133084{col 40}{space 1}    1.13{col 49}{space 3}0.258{col 57}{space 4}-.1768152{col 70}{space 3} .6593385
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0904286{col 29}{space 2} .0436379{col 40}{space 1}   -2.07{col 49}{space 3}0.038{col 57}{space 4}-.1759573{col 70}{space 3}   -.0049
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.873611{col 29}{space 2} .5112457{col 40}{space 1}    5.62{col 49}{space 3}0.000{col 57}{space 4} 1.871588{col 70}{space 3} 3.875634
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5061578{col 29}{space 2} .0603201{col 40}{space 1}   -8.39{col 49}{space 3}0.000{col 57}{space 4}-.6243831{col 70}{space 3}-.3879326
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0303095{col 29}{space 2} .0042802{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4} .0219205{col 70}{space 3} .0386985
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0005568{col 29}{space 2} .0000902{col 40}{space 1}   -6.17{col 49}{space 3}0.000{col 57}{space 4}-.0007336{col 70}{space 3}-.0003801
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-16.64799{col 29}{space 2}  1.31416{col 40}{space 1}  -12.67{col 49}{space 3}0.000{col 57}{space 4} -19.2237{col 70}{space 3}-14.07228
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. *Model 8*
. logit GovtImp FinOpen MajorSenderCost MajorTargetCost i.n_threatenedtargetinterest n_issue1 n_sanctiontypethreat  BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{txt}note: BIT != 0 predicts failure perfectly
      BIT dropped and 4 obs not used

note: IMF != 1 predicts failure perfectly
      IMF dropped and 2 obs not used

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-282.01611}  
Iteration 1:{space 3}log pseudolikelihood = {res:-201.54276}  
Iteration 2:{space 3}log pseudolikelihood = {res:-193.88679}  
Iteration 3:{space 3}log pseudolikelihood = {res:-193.54542}  
Iteration 4:{space 3}log pseudolikelihood = {res:-193.54422}  
Iteration 5:{space 3}log pseudolikelihood = {res:-193.54422}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       511
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}     80.50
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-193.54422{txt}{col 51}Pseudo R2{col 67}= {res}    0.3137

{txt}{ralign 92:(Std. Err. adjusted for {res:162} clusters in dyadid)}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   GovtImp{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}FinOpen {c |}{col 28}{res}{space 2} .0287039{col 40}{space 2} .1475555{col 51}{space 1}    0.19{col 60}{space 3}0.846{col 68}{space 4}-.2604996{col 81}{space 3} .3179074
{txt}{space 11}MajorSenderCost {c |}{col 28}{res}{space 2}-1.125537{col 40}{space 2} 1.289242{col 51}{space 1}   -0.87{col 60}{space 3}0.383{col 68}{space 4}-3.652404{col 81}{space 3} 1.401331
{txt}{space 11}MajorTargetCost {c |}{col 28}{res}{space 2} -.579995{col 40}{space 2} .6203927{col 51}{space 1}   -0.93{col 60}{space 3}0.350{col 68}{space 4}-1.795942{col 81}{space 3} .6359525
{txt}{space 26} {c |}
n_threatenedtargetinterest {c |}
{space 24}2  {c |}{col 28}{res}{space 2} 3.139929{col 40}{space 2} .7844627{col 51}{space 1}    4.00{col 60}{space 3}0.000{col 68}{space 4} 1.602411{col 81}{space 3} 4.677448
{txt}{space 24}3  {c |}{col 28}{res}{space 2} .7862367{col 40}{space 2} .7051691{col 51}{space 1}    1.11{col 60}{space 3}0.265{col 68}{space 4}-.5958693{col 81}{space 3} 2.168343
{txt}{space 24}4  {c |}{col 28}{res}{space 2} 3.280729{col 40}{space 2} .9784047{col 51}{space 1}    3.35{col 60}{space 3}0.001{col 68}{space 4} 1.363091{col 81}{space 3} 5.198367
{txt}{space 24}5  {c |}{col 28}{res}{space 2}-1.819913{col 40}{space 2} 1.383736{col 51}{space 1}   -1.32{col 60}{space 3}0.188{col 68}{space 4}-4.531986{col 81}{space 3}   .89216
{txt}{space 26} {c |}
{space 18}n_issue1 {c |}{col 28}{res}{space 2}-.0954412{col 40}{space 2} .0971162{col 51}{space 1}   -0.98{col 60}{space 3}0.326{col 68}{space 4}-.2857856{col 81}{space 3} .0949031
{txt}{space 6}n_sanctiontypethreat {c |}{col 28}{res}{space 2}  .077673{col 40}{space 2} .0948068{col 51}{space 1}    0.82{col 60}{space 3}0.413{col 68}{space 4}-.1081449{col 81}{space 3}  .263491
{txt}{space 23}BIT {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}IMF {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 23}WTO {c |}{col 28}{res}{space 2}-.0074208{col 40}{space 2} .5193312{col 51}{space 1}   -0.01{col 60}{space 3}0.989{col 68}{space 4}-1.025291{col 81}{space 3}  1.01045
{txt}{space 18}jointdem {c |}{col 28}{res}{space 2} 1.604423{col 40}{space 2} 1.001564{col 51}{space 1}    1.60{col 60}{space 3}0.109{col 68}{space 4}-.3586059{col 81}{space 3} 3.567452
{txt}{space 13}igomember_log {c |}{col 28}{res}{space 2} .7358455{col 40}{space 2} .8651212{col 51}{space 1}    0.85{col 60}{space 3}0.395{col 68}{space 4}-.9597609{col 81}{space 3} 2.431452
{txt}{space 15}lowtradedep {c |}{col 28}{res}{space 2}-57.70154{col 40}{space 2} 34.09142{col 51}{space 1}   -1.69{col 60}{space 3}0.091{col 68}{space 4}-124.5195{col 81}{space 3}  9.11641
{txt}{space 18}ussender {c |}{col 28}{res}{space 2}-1.557395{col 40}{space 2} .5163712{col 51}{space 1}   -3.02{col 60}{space 3}0.003{col 68}{space 4}-2.569464{col 81}{space 3}-.5453256
{txt}{space 18}polity21 {c |}{col 28}{res}{space 2}-.1447357{col 40}{space 2} .0596958{col 51}{space 1}   -2.42{col 60}{space 3}0.015{col 68}{space 4}-.2617373{col 81}{space 3}-.0277342
{txt}{space 18}polity22 {c |}{col 28}{res}{space 2}-.0206224{col 40}{space 2} .0637078{col 51}{space 1}   -0.32{col 60}{space 3}0.746{col 68}{space 4}-.1454874{col 81}{space 3} .1042426
{txt}{space 14}us_targetdem {c |}{col 28}{res}{space 2}-.1497564{col 40}{space 2} .0564318{col 51}{space 1}   -2.65{col 60}{space 3}0.008{col 68}{space 4}-.2603606{col 81}{space 3}-.0391522
{txt}{space 16}alliance_r {c |}{col 28}{res}{space 2}-.6145222{col 40}{space 2} .4760303{col 51}{space 1}   -1.29{col 60}{space 3}0.197{col 68}{space 4}-1.547525{col 81}{space 3} .3184801
{txt}{space 18}capratio {c |}{col 28}{res}{space 2} .2506716{col 40}{space 2} .1165973{col 51}{space 1}    2.15{col 60}{space 3}0.032{col 68}{space 4} .0221451{col 81}{space 3}  .479198
{txt}{space 20}cwongo {c |}{col 28}{res}{space 2}-.1009029{col 40}{space 2} .5743881{col 51}{space 1}   -0.18{col 60}{space 3}0.861{col 68}{space 4}-1.226683{col 81}{space 3} 1.024877
{txt}{space 21}_cons {c |}{col 28}{res}{space 2}-2.694929{col 40}{space 2} 2.924491{col 51}{space 1}   -0.92{col 60}{space 3}0.357{col 68}{space 4}-8.426826{col 81}{space 3} 3.036967
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. outreg2 using Table5 , word label title(Table 5: Level of Financial Openness For Senders and Targets) bdec(3)
{txt}{stata `"shellout using `"Table5.rtf"'"':Table5.rtf}
{browse `"C:\Users\Jeff\Documents\DissertationFolder\Aid"' :dir}{com} : {txt}{stata `"seeout using "Table5.txt", label"':seeout}

{com}. 
. 
. 
. 
. 
. **************************************Figures*********************************************************
. *Figure 1*
. logit threat sMyWNeoDummy tMyWNeoDummy MyDyadWNeoDummy TestMyNeoliberal BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7161.6899}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5213.8406}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4442.4627}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4376.7656}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4376.3554}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4376.3552}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    630850
{txt}{col 51}Wald chi2({res}20{txt}){col 67}= {res}   2597.44
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4376.3552{txt}{col 51}Pseudo R2{col 67}= {res}    0.3889

{txt}{ralign 82:(Std. Err. adjusted for {res:26166} clusters in dyadid)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}          threat{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}sMyWNeoDummy {c |}{col 18}{res}{space 2}-.3886543{col 30}{space 2} .3155414{col 41}{space 1}   -1.23{col 50}{space 3}0.218{col 58}{space 4}-1.007104{col 71}{space 3} .2297955
{txt}{space 4}tMyWNeoDummy {c |}{col 18}{res}{space 2}-1.000327{col 30}{space 2} .3594976{col 41}{space 1}   -2.78{col 50}{space 3}0.005{col 58}{space 4}-1.704929{col 71}{space 3}-.2957248
{txt}{space 1}MyDyadWNeoDummy {c |}{col 18}{res}{space 2} .3114193{col 30}{space 2}  .388201{col 41}{space 1}    0.80{col 50}{space 3}0.422{col 58}{space 4}-.4494406{col 71}{space 3} 1.072279
{txt}TestMyNeoliberal {c |}{col 18}{res}{space 2} 2.222533{col 30}{space 2} .6606962{col 41}{space 1}    3.36{col 50}{space 3}0.001{col 58}{space 4} .9275925{col 71}{space 3} 3.517474
{txt}{space 13}BIT {c |}{col 18}{res}{space 2} .0336767{col 30}{space 2}  .451926{col 41}{space 1}    0.07{col 50}{space 3}0.941{col 58}{space 4} -.852082{col 71}{space 3} .9194354
{txt}{space 13}IMF {c |}{col 18}{res}{space 2}-.5785885{col 30}{space 2} .3100526{col 41}{space 1}   -1.87{col 50}{space 3}0.062{col 58}{space 4} -1.18628{col 71}{space 3} .0291034
{txt}{space 13}WTO {c |}{col 18}{res}{space 2}-.1334859{col 30}{space 2} .1565763{col 41}{space 1}   -0.85{col 50}{space 3}0.394{col 58}{space 4}-.4403698{col 71}{space 3}  .173398
{txt}{space 8}jointdem {c |}{col 18}{res}{space 2} -.320968{col 30}{space 2} .2682548{col 41}{space 1}   -1.20{col 50}{space 3}0.231{col 58}{space 4}-.8467378{col 71}{space 3} .2048017
{txt}{space 3}igomember_log {c |}{col 18}{res}{space 2}  1.53737{col 30}{space 2} .4105589{col 41}{space 1}    3.74{col 50}{space 3}0.000{col 58}{space 4} .7326888{col 71}{space 3}  2.34205
{txt}{space 5}lowtradedep {c |}{col 18}{res}{space 2} 28.81811{col 30}{space 2} 5.599118{col 41}{space 1}    5.15{col 50}{space 3}0.000{col 58}{space 4} 17.84404{col 71}{space 3} 39.79218
{txt}{space 8}ussender {c |}{col 18}{res}{space 2} 4.785339{col 30}{space 2} .3295352{col 41}{space 1}   14.52{col 50}{space 3}0.000{col 58}{space 4} 4.139461{col 71}{space 3} 5.431216
{txt}{space 8}polity21 {c |}{col 18}{res}{space 2}  .039316{col 30}{space 2} .0178766{col 41}{space 1}    2.20{col 50}{space 3}0.028{col 58}{space 4} .0042784{col 71}{space 3} .0743536
{txt}{space 8}polity22 {c |}{col 18}{res}{space 2} .0558499{col 30}{space 2} .0178761{col 41}{space 1}    3.12{col 50}{space 3}0.002{col 58}{space 4} .0208134{col 71}{space 3} .0908863
{txt}{space 4}us_targetdem {c |}{col 18}{res}{space 2}-.0938597{col 30}{space 2} .0221366{col 41}{space 1}   -4.24{col 50}{space 3}0.000{col 58}{space 4}-.1372466{col 71}{space 3}-.0504728
{txt}{space 6}alliance_r {c |}{col 18}{res}{space 2} .7261337{col 30}{space 2} .2308847{col 41}{space 1}    3.15{col 50}{space 3}0.002{col 58}{space 4} .2736081{col 71}{space 3} 1.178659
{txt}{space 8}capratio {c |}{col 18}{res}{space 2}-.0655269{col 30}{space 2} .0423319{col 41}{space 1}   -1.55{col 50}{space 3}0.122{col 58}{space 4} -.148496{col 71}{space 3} .0174422
{txt}{space 10}cwongo {c |}{col 18}{res}{space 2} 2.842423{col 30}{space 2} .5313356{col 41}{space 1}    5.35{col 50}{space 3}0.000{col 58}{space 4} 1.801025{col 71}{space 3} 3.883822
{txt}{space 2}threat_years_i {c |}{col 18}{res}{space 2}-.3505429{col 30}{space 2} .0455702{col 41}{space 1}   -7.69{col 50}{space 3}0.000{col 58}{space 4}-.4398587{col 71}{space 3} -.261227
{txt}{space 1}threat_years2_i {c |}{col 18}{res}{space 2} .0209677{col 30}{space 2} .0033899{col 41}{space 1}    6.19{col 50}{space 3}0.000{col 58}{space 4} .0143236{col 71}{space 3} .0276118
{txt}{space 1}threat_years3_i {c |}{col 18}{res}{space 2}-.0004008{col 30}{space 2} .0000763{col 41}{space 1}   -5.25{col 50}{space 3}0.000{col 58}{space 4}-.0005504{col 71}{space 3}-.0002513
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-10.77797{col 30}{space 2} 1.327585{col 41}{space 1}   -8.12{col 50}{space 3}0.000{col 58}{space 4}-13.37999{col 71}{space 3}-8.175948
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. prgen tMyWNeoDummy, from (0) to (1) generate(durat) rest(mean) ci 

{res}logit{txt}: Predicted values as {res}tMyWNeoDummy{txt} varies from {res}0{txt} to {res}1{txt}.

    sMyWNeoDummy  tMyWNeoDummy  MyDyadWNeo~y  TestMyNeol~l           BIT           IMF           WTO      jointdem  igomember_~g
x=  {res}   .12043275     .12043275     .01442498     .12795511     .00260601     .84639772     .11270191     .10553697     3.1196143

    {txt} lowtradedep      ussender      polity21      polity22  us_targetdem    alliance_r      capratio        cwongo  threat_y~s_i
x=  {res}   .00031754     .00684315    -.30217009    -.30217009    -.00397242     .06366014             0     .00164857     13.967369

    {txt}threat_y~2_i  threat_y~3_i
x=  {res}   278.53621     6380.7997
{txt}
{com}. label variable duratp1 "Probability of Sanction Threat" 
{txt}
{com}. 
. label variable duratx "Neoliberal Target State"  
{txt}
{com}. 
. label variable duratp1lb "95% lower limit" 
{txt}
{com}. 
. label variable duratp1ub "95% upper limit"
{txt}
{com}. 
. twoway (connected duratp1 duratx, lpattern(solid) lwidth(medthick) msymbol(none)) (connected duratp1lb duratx, lpattern(dash) lwidth(thin) msymbol(none)) (connected  duratp1ub duratx, lpattern(dash) lwidth(thin) msymbol(none)), saving(Figure1)
{res}{txt}(file Figure1.gph saved)

{com}. 
. drop duratx duratp0 duratp1 duratp0lb duratp1lb duratp0ub duratp1ub
{txt}
{com}. 
. 
. 
. *Figure 2*
. logit threat sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-7772.9854}  
Iteration 1:{space 3}log pseudolikelihood = {res:-5658.1894}  
Iteration 2:{space 3}log pseudolikelihood = {res:-4848.8315}  
Iteration 3:{space 3}log pseudolikelihood = {res:-4775.2206}  
Iteration 4:{space 3}log pseudolikelihood = {res:-4774.7306}  
Iteration 5:{space 3}log pseudolikelihood = {res:-4774.7304}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    653982
{txt}{col 51}Wald chi2({res}18{txt}){col 67}= {res}   2618.23
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-4774.7304{txt}{col 51}Pseudo R2{col 67}= {res}    0.3857

{txt}{ralign 81:(Std. Err. adjusted for {res:26188} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}sEdu {c |}{col 17}{res}{space 2}-.2713491{col 29}{space 2} .1245002{col 40}{space 1}   -2.18{col 49}{space 3}0.029{col 57}{space 4} -.515365{col 70}{space 3}-.0273331
{txt}{space 11}tEdu {c |}{col 17}{res}{space 2}-.2376603{col 29}{space 2} .1251747{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4}-.4829983{col 70}{space 3} .0076776
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .1919958{col 29}{space 2} .4073519{col 40}{space 1}    0.47{col 49}{space 3}0.637{col 57}{space 4}-.6063992{col 70}{space 3} .9903908
{txt}{space 12}IMF {c |}{col 17}{res}{space 2}-.5107892{col 29}{space 2} .3042982{col 40}{space 1}   -1.68{col 49}{space 3}0.093{col 57}{space 4}-1.107203{col 70}{space 3} .0856243
{txt}{space 12}WTO {c |}{col 17}{res}{space 2} .0204893{col 29}{space 2} .1567239{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.2866838{col 70}{space 3} .3276624
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3364565{col 29}{space 2} .2719078{col 40}{space 1}   -1.24{col 49}{space 3}0.216{col 57}{space 4}-.8693859{col 70}{space 3} .1964729
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2}  1.65439{col 29}{space 2} .4339952{col 40}{space 1}    3.81{col 49}{space 3}0.000{col 57}{space 4} .8037746{col 70}{space 3} 2.505005
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 27.36397{col 29}{space 2} 5.644996{col 40}{space 1}    4.85{col 49}{space 3}0.000{col 57}{space 4} 16.29998{col 70}{space 3} 38.42796
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.967508{col 29}{space 2} .3202355{col 40}{space 1}   15.51{col 49}{space 3}0.000{col 57}{space 4} 4.339858{col 70}{space 3} 5.595158
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0535788{col 29}{space 2}  .018177{col 40}{space 1}    2.95{col 49}{space 3}0.003{col 57}{space 4} .0179526{col 70}{space 3} .0892051
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0598609{col 29}{space 2} .0178595{col 40}{space 1}    3.35{col 49}{space 3}0.001{col 57}{space 4} .0248569{col 70}{space 3} .0948648
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0809124{col 29}{space 2} .0213825{col 40}{space 1}   -3.78{col 49}{space 3}0.000{col 57}{space 4}-.1228213{col 70}{space 3}-.0390034
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .6524002{col 29}{space 2} .2299476{col 40}{space 1}    2.84{col 49}{space 3}0.005{col 57}{space 4} .2017111{col 70}{space 3} 1.103089
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0720719{col 29}{space 2} .0413775{col 40}{space 1}   -1.74{col 49}{space 3}0.082{col 57}{space 4}-.1531703{col 70}{space 3} .0090266
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.896965{col 29}{space 2} .5052718{col 40}{space 1}    5.73{col 49}{space 3}0.000{col 57}{space 4}  1.90665{col 70}{space 3} 3.887279
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.3585361{col 29}{space 2} .0415073{col 40}{space 1}   -8.64{col 49}{space 3}0.000{col 57}{space 4}-.4398889{col 70}{space 3}-.2771834
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0224805{col 29}{space 2} .0031758{col 40}{space 1}    7.08{col 49}{space 3}0.000{col 57}{space 4}  .016256{col 70}{space 3}  .028705
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0004328{col 29}{space 2} .0000719{col 40}{space 1}   -6.02{col 49}{space 3}0.000{col 57}{space 4}-.0005736{col 70}{space 3}-.0002919
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-10.97251{col 29}{space 2} 1.462557{col 40}{space 1}   -7.50{col 49}{space 3}0.000{col 57}{space 4}-13.83907{col 70}{space 3}-8.105955
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. prgen sEdu, from (0) to (1) generate(durat) rest(mean) ci 

{res}logit{txt}: Predicted values as {res}sEdu{txt} varies from {res}0{txt} to {res}1{txt}.

            sEdu          tEdu           BIT           IMF           WTO      jointdem  igomember_~g   lowtradedep      ussender
x=  {res}    .3843118      .3843118     .00257041      .8473169     .11164833     .10676135     3.1192873     .00031411     .00696349

    {txt}    polity21      polity22  us_targetdem    alliance_r      capratio        cwongo  threat_y~s_i  threat_y~2_i  threat_y~3_i
x=  {res}  -.25565994    -.25565994    -.00308877     .06449107             0     .00164836     13.936249     278.37595     6381.6795
{txt}
{com}. label variable duratp1 "Probability of Sanction Threat" 
{txt}
{com}. 
. label variable duratx "Graduate Education of Sender Executive"  
{txt}
{com}. 
. label variable duratp1lb "95% lower limit" 
{txt}
{com}. 
. label variable duratp1ub "95% upper limit"
{txt}
{com}. 
. twoway (connected duratp1 duratx, lpattern(solid) lwidth(medthick) msymbol(none)) (connected duratp1lb duratx, lpattern(dash) lwidth(thin) msymbol(none)) (connected  duratp1ub duratx, lpattern(dash) lwidth(thin) msymbol(none)), saving(Figure2)
{res}{txt}(file Figure2.gph saved)

{com}. 
. drop duratx duratp0 duratp1 duratp0lb duratp1lb duratp0ub duratp1ub
{txt}
{com}. 
. 
. 
. *Figure 3*
. logit imposition sEdu tEdu BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-648.59105}  
Iteration 1:{space 3}log pseudolikelihood = {res:-561.76593}  
Iteration 2:{space 3}log pseudolikelihood = {res:-559.50988}  
Iteration 3:{space 3}log pseudolikelihood = {res:-559.50544}  
Iteration 4:{space 3}log pseudolikelihood = {res:-559.50544}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}      1045
{txt}{col 51}Wald chi2({res}15{txt}){col 67}= {res}     81.59
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-559.50544{txt}{col 51}Pseudo R2{col 67}= {res}    0.1374

{txt}{ralign 79:(Std. Err. adjusted for {res:287} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}sEdu {c |}{col 15}{res}{space 2}-.7927861{col 27}{space 2} .1953966{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-1.175756{col 68}{space 3}-.4098158
{txt}{space 9}tEdu {c |}{col 15}{res}{space 2}-.0201149{col 27}{space 2} .1825271{col 38}{space 1}   -0.11{col 47}{space 3}0.912{col 55}{space 4}-.3778616{col 68}{space 3} .3376317
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .645881{col 27}{space 2} .8955011{col 38}{space 1}    0.72{col 47}{space 3}0.471{col 55}{space 4}-1.109269{col 68}{space 3} 2.401031
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-2.043611{col 27}{space 2} .7311415{col 38}{space 1}   -2.80{col 47}{space 3}0.005{col 55}{space 4}-3.476622{col 68}{space 3}-.6105995
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .6728774{col 27}{space 2} .2556394{col 38}{space 1}    2.63{col 47}{space 3}0.008{col 55}{space 4} .1718335{col 68}{space 3} 1.173921
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.371756{col 27}{space 2} .3608965{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}  -2.0791{col 68}{space 3}-.6644115
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.103819{col 27}{space 2}  .418129{col 38}{space 1}    2.64{col 47}{space 3}0.008{col 55}{space 4} .2843013{col 68}{space 3} 1.923337
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-4.918376{col 27}{space 2} 9.108651{col 38}{space 1}   -0.54{col 47}{space 3}0.589{col 55}{space 4}  -22.771{col 68}{space 3} 12.93425
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} 1.338772{col 27}{space 2}  .348097{col 38}{space 1}    3.85{col 47}{space 3}0.000{col 55}{space 4} .6565146{col 68}{space 3}  2.02103
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} .0090639{col 27}{space 2}  .026448{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-.0427734{col 68}{space 3} .0609011
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0660349{col 27}{space 2} .0272755{col 38}{space 1}    2.42{col 47}{space 3}0.015{col 55}{space 4} .0125759{col 68}{space 3} .1194939
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0430801{col 27}{space 2} .0354867{col 38}{space 1}    1.21{col 47}{space 3}0.225{col 55}{space 4}-.0264726{col 68}{space 3} .1126328
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1926108{col 27}{space 2} .3023196{col 38}{space 1}   -0.64{col 47}{space 3}0.524{col 55}{space 4}-.7851463{col 68}{space 3} .3999248
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.2275719{col 27}{space 2} .0689213{col 38}{space 1}   -3.30{col 47}{space 3}0.001{col 55}{space 4}-.3626552{col 68}{space 3}-.0924887
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2612873{col 27}{space 2}  .377889{col 38}{space 1}   -0.69{col 47}{space 3}0.489{col 55}{space 4}-1.001936{col 68}{space 3} .4793614
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-2.638527{col 27}{space 2} 1.057605{col 38}{space 1}   -2.49{col 47}{space 3}0.013{col 55}{space 4}-4.711396{col 68}{space 3}-.5656594
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. prgen sEdu, from (0) to (1) generate(durat) rest(mean) ci 

{res}logit{txt}: Predicted values as {res}sEdu{txt} varies from {res}0{txt} to {res}1{txt}.

            sEdu          tEdu           BIT           IMF           WTO      jointdem  igomember_~g   lowtradedep      ussender
x=  {res}    .5215311     .37894737      .0076555     .90909091     .16267943     .35598086     3.5477757     .00298723     .57799043

    {txt}    polity21      polity22  us_targetdem    alliance_r      capratio        cwongo
x=  {res}   7.3167464     2.0440191     .26028708            .4     1.9869743     .04880383
{txt}
{com}. label variable duratp1 "Probability of Sanction Imposition" 
{txt}
{com}. 
. label variable duratx "Graduate Education of Sender Executive"  
{txt}
{com}. 
. label variable duratp1lb "95% lower limit" 
{txt}
{com}. 
. label variable duratp1ub "95% upper limit"
{txt}
{com}. 
. twoway (connected duratp1 duratx, lpattern(solid) lwidth(medthick) msymbol(none)) (connected duratp1lb duratx, lpattern(dash) lwidth(thin) msymbol(none)) (connected  duratp1ub duratx, lpattern(dash) lwidth(thin) msymbol(none)), saving(Figure3)
{res}{txt}(file Figure3.gph saved)

{com}. 
. drop duratx duratp0 duratp1 duratp0lb duratp1lb duratp0ub duratp1ub
{txt}
{com}. 
. 
. 
. *Figure 4*
. logit threat SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, iterate(10) cluster(dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4509.1426}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3020.7152}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2540.4649}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2316.3359}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2295.7933}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2294.5892}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2294.5865}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2294.5865}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    231500
{txt}{col 51}Wald chi2({res}19{txt}){col 67}= {res}   1542.74
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2294.5865{txt}{col 51}Pseudo R2{col 67}= {res}    0.4911

{txt}{ralign 81:(Std. Err. adjusted for {res:15224} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}SenderGovt {c |}{col 17}{res}{space 2}-.1361978{col 29}{space 2} .1338749{col 40}{space 1}   -1.02{col 49}{space 3}0.309{col 57}{space 4}-.3985877{col 70}{space 3} .1261921
{txt}{space 5}TargetGovt {c |}{col 17}{res}{space 2} .1783037{col 29}{space 2} .1701292{col 40}{space 1}    1.05{col 49}{space 3}0.295{col 57}{space 4}-.1551435{col 70}{space 3} .5117508
{txt}{space 4}WBScaleGovt {c |}{col 17}{res}{space 2}-.1071065{col 29}{space 2} .0647813{col 40}{space 1}   -1.65{col 49}{space 3}0.098{col 57}{space 4}-.2340756{col 70}{space 3} .0198626
{txt}{space 12}BIT {c |}{col 17}{res}{space 2}-.1425977{col 29}{space 2} .4843111{col 40}{space 1}   -0.29{col 49}{space 3}0.768{col 57}{space 4} -1.09183{col 70}{space 3} .8066346
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2621194{col 29}{space 2} .5228806{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}-.7627078{col 70}{space 3} 1.286947
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.3589805{col 29}{space 2} .1803081{col 40}{space 1}   -1.99{col 49}{space 3}0.046{col 57}{space 4}-.7123779{col 70}{space 3} -.005583
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.3656932{col 29}{space 2}  .360169{col 40}{space 1}   -1.02{col 49}{space 3}0.310{col 57}{space 4}-1.071612{col 70}{space 3} .3402251
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 1.561313{col 29}{space 2} .5241158{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4} .5340653{col 70}{space 3} 2.588562
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 20.57034{col 29}{space 2} 8.373914{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} 4.157767{col 70}{space 3} 36.98291
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 5.380647{col 29}{space 2}  .442201{col 40}{space 1}   12.17{col 49}{space 3}0.000{col 57}{space 4} 4.513949{col 70}{space 3} 6.247345
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0895616{col 29}{space 2} .0388694{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} .0133791{col 70}{space 3} .1657442
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2} .0860031{col 29}{space 2} .0295502{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .0280858{col 70}{space 3} .1439204
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.1375083{col 29}{space 2} .0306184{col 40}{space 1}   -4.49{col 49}{space 3}0.000{col 57}{space 4}-.1975193{col 70}{space 3}-.0774973
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} 1.066901{col 29}{space 2} .2987469{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} .4813674{col 70}{space 3} 1.652434
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.1142966{col 29}{space 2}  .059113{col 40}{space 1}   -1.93{col 49}{space 3}0.053{col 57}{space 4}-.2301559{col 70}{space 3} .0015628
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2} 2.437865{col 29}{space 2} .5880557{col 40}{space 1}    4.15{col 49}{space 3}0.000{col 57}{space 4} 1.285297{col 70}{space 3} 3.590433
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}-.5874782{col 29}{space 2} .0592902{col 40}{space 1}   -9.91{col 49}{space 3}0.000{col 57}{space 4}-.7036848{col 70}{space 3}-.4712716
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0355812{col 29}{space 2} .0044474{col 40}{space 1}    8.00{col 49}{space 3}0.000{col 57}{space 4} .0268645{col 70}{space 3} .0442979
{txt}threat_years3_i {c |}{col 17}{res}{space 2}-.0006411{col 29}{space 2}  .000097{col 40}{space 1}   -6.61{col 49}{space 3}0.000{col 57}{space 4}-.0008312{col 70}{space 3} -.000451
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-11.13696{col 29}{space 2} 1.868904{col 40}{space 1}   -5.96{col 49}{space 3}0.000{col 57}{space 4}-14.79994{col 70}{space 3}-7.473975
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. prgen WBScaleGovt, from (0) to (3) generate(durat) rest(mean) ci 

{res}logit{txt}: Predicted values as {res}WBScaleGovt{txt} varies from {res}0{txt} to {res}3{txt}.

      SenderGovt    TargetGovt   WBScaleGovt           BIT           IMF           WTO      jointdem  igomember_~g   lowtradedep
x=  {res}   .30314039     .17937365      .3463067     .00403888     .88092009     .17093737     .18209503     3.2648767     .00041698

    {txt}    ussender      polity21      polity22  us_targetdem    alliance_r      capratio        cwongo  threat_y~s_i  threat_y~2_i
x=  {res}   .01366739     3.3637106     .13887689    -.00134773     .06520086     .24821372     .00161987     16.567045     345.74006

    {txt}threat_y~3_i
x=  {res}   8083.8091
{txt}
{com}. label variable duratp1 "Probability of Sanction Threat" 
{txt}
{com}. 
. label variable duratx "Ideology of Government"  
{txt}
{com}. 
. label variable duratp1lb "95% lower limit" 
{txt}
{com}. 
. label variable duratp1ub "95% upper limit"
{txt}
{com}. 
. twoway (connected duratp1 duratx, lpattern(solid) lwidth(medthick) msymbol(none)) (connected duratp1lb duratx, lpattern(dash) lwidth(thin) msymbol(none)) (connected  duratp1ub duratx, lpattern(dash) lwidth(thin) msymbol(none)), saving(Figure4)
{res}{txt}(file Figure4.gph saved)

{com}. 
. drop duratx duratp0 duratp1 duratp0lb duratp1lb duratp0ub duratp1ub
{txt}
{com}. 
. 
. 
. 
. *Figure 5*
. logit imposition SenderGovt TargetGovt WBScaleGovt BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-396.03367}  
Iteration 1:{space 3}log pseudolikelihood = {res:-344.95863}  
Iteration 2:{space 3}log pseudolikelihood = {res:-341.69157}  
Iteration 3:{space 3}log pseudolikelihood = {res:-341.58399}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.58368}  
Iteration 5:{space 3}log pseudolikelihood = {res:-341.58368}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       657
{txt}{col 51}Wald chi2({res}16{txt}){col 67}= {res}     81.22
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-341.58368{txt}{col 51}Pseudo R2{col 67}= {res}    0.1375

{txt}{ralign 79:(Std. Err. adjusted for {res:158} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}SenderGovt {c |}{col 15}{res}{space 2} .6641253{col 27}{space 2} .2602472{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .1540501{col 68}{space 3}   1.1742
{txt}{space 3}TargetGovt {c |}{col 15}{res}{space 2} .8867446{col 27}{space 2} .3150719{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4}  .269215{col 68}{space 3} 1.504274
{txt}{space 2}WBScaleGovt {c |}{col 15}{res}{space 2}-.2208987{col 27}{space 2} .1232864{col 38}{space 1}   -1.79{col 47}{space 3}0.073{col 55}{space 4}-.4625356{col 68}{space 3} .0207382
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .872767{col 27}{space 2} 1.170845{col 38}{space 1}    0.75{col 47}{space 3}0.456{col 55}{space 4}-1.422046{col 68}{space 3}  3.16758
{txt}{space 10}IMF {c |}{col 15}{res}{space 2}-.1119708{col 27}{space 2} 1.093304{col 38}{space 1}   -0.10{col 47}{space 3}0.918{col 55}{space 4}-2.254806{col 68}{space 3} 2.030865
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .4819365{col 27}{space 2} .3073517{col 38}{space 1}    1.57{col 47}{space 3}0.117{col 55}{space 4}-.1204619{col 68}{space 3} 1.084335
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.042056{col 27}{space 2} .5243742{col 38}{space 1}   -1.99{col 47}{space 3}0.047{col 55}{space 4} -2.06981{col 68}{space 3}-.0143012
{txt}igomember_log {c |}{col 15}{res}{space 2} 1.863782{col 27}{space 2} .5554063{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} .7752053{col 68}{space 3} 2.952358
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2} 4.935558{col 27}{space 2} 20.26487{col 38}{space 1}    0.24{col 47}{space 3}0.808{col 55}{space 4}-34.78285{col 68}{space 3} 44.65397
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .0934143{col 27}{space 2} .4159646{col 38}{space 1}    0.22{col 47}{space 3}0.822{col 55}{space 4}-.7218614{col 68}{space 3}   .90869
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.043464{col 27}{space 2} .0825794{col 38}{space 1}   -0.53{col 47}{space 3}0.599{col 55}{space 4}-.2053166{col 68}{space 3} .1183886
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2}-.1001499{col 27}{space 2} .0498638{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-.1978812{col 68}{space 3}-.0024186
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2}  .167619{col 27}{space 2} .0441382{col 38}{space 1}    3.80{col 47}{space 3}0.000{col 55}{space 4} .0811097{col 68}{space 3} .2541282
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.0963362{col 27}{space 2} .3540752{col 38}{space 1}   -0.27{col 47}{space 3}0.786{col 55}{space 4}-.7903109{col 68}{space 3} .5976385
{txt}{space 5}capratio {c |}{col 15}{res}{space 2}-.1248688{col 27}{space 2} .1060836{col 38}{space 1}   -1.18{col 47}{space 3}0.239{col 55}{space 4}-.3327888{col 68}{space 3} .0830511
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.2548772{col 27}{space 2} .6473906{col 38}{space 1}   -0.39{col 47}{space 3}0.694{col 55}{space 4}-1.523739{col 68}{space 3} 1.013985
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-7.062168{col 27}{space 2} 2.177143{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-11.32929{col 68}{space 3}-2.795046
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. prgen TargetGovt, from (0) to (1) generate(durat) rest(mean) ci 

{res}logit{txt}: Predicted values as {res}TargetGovt{txt} varies from {res}0{txt} to {res}1{txt}.

      SenderGovt    TargetGovt   WBScaleGovt           BIT           IMF           WTO      jointdem  igomember_~g   lowtradedep
x=  {res}    .4414003     .27701674     .47336377     .00913242     .97564688     .22222222     .43378995     3.6643851     .00312993

    {txt}    ussender      polity21      polity22  us_targetdem    alliance_r      capratio        cwongo
x=  {res}   .71993912     9.3105023     2.1872146      .3652968     .46575342     2.6244348     .03805175
{txt}
{com}. label variable duratp1 "Probability of Sanction Threat" 
{txt}
{com}. 
. label variable duratx "Ideology of Target Government"  
{txt}
{com}. 
. label variable duratp1lb "95% lower limit" 
{txt}
{com}. 
. label variable duratp1ub "95% upper limit"
{txt}
{com}. 
. twoway (connected duratp1 duratx, lpattern(solid) lwidth(medthick) msymbol(none)) (connected duratp1lb duratx, lpattern(dash) lwidth(thin) msymbol(none)) (connected  duratp1ub duratx, lpattern(dash) lwidth(thin) msymbol(none)), saving(Figure5)
{res}{txt}(file Figure5.gph saved)

{com}. 
. drop duratx duratp0 duratp1 duratp0lb duratp1lb duratp0ub duratp1ub
{txt}
{com}. 
. 
. 
. 
. *Figure 6*
. logit threat AddRestrictions BIT IMF WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo threat_years_i threat_years2_i threat_years3_i, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-5953.0708}  
Iteration 1:{space 3}log pseudolikelihood = {res:-4279.9819}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.5084}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3559.8632}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3556.4978}  
Iteration 5:{space 3}log pseudolikelihood = {res:-3556.4802}  
Iteration 6:{space 3}log pseudolikelihood = {res:-3556.4802}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}    429382
{txt}{col 51}Wald chi2({res}17{txt}){col 67}= {res}   1955.54
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3556.4802{txt}{col 51}Pseudo R2{col 67}= {res}    0.4026

{txt}{ralign 81:(Std. Err. adjusted for {res:17554} clusters in dyadid)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}         threat{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
AddRestrictions {c |}{col 17}{res}{space 2} .0104298{col 29}{space 2} .0032965{col 40}{space 1}    3.16{col 49}{space 3}0.002{col 57}{space 4} .0039688{col 70}{space 3} .0168908
{txt}{space 12}BIT {c |}{col 17}{res}{space 2} .3921635{col 29}{space 2} .4146873{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4206087{col 70}{space 3} 1.204936
{txt}{space 12}IMF {c |}{col 17}{res}{space 2} .2034974{col 29}{space 2} .4930762{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.7629142{col 70}{space 3} 1.169909
{txt}{space 12}WTO {c |}{col 17}{res}{space 2}-.2411867{col 29}{space 2} .1617586{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.5582278{col 70}{space 3} .0758544
{txt}{space 7}jointdem {c |}{col 17}{res}{space 2}-.7153627{col 29}{space 2} .3645961{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.429958{col 70}{space 3}-.0007675
{txt}{space 2}igomember_log {c |}{col 17}{res}{space 2} 2.473321{col 29}{space 2} .3973674{col 40}{space 1}    6.22{col 49}{space 3}0.000{col 57}{space 4} 1.694495{col 70}{space 3} 3.252147
{txt}{space 4}lowtradedep {c |}{col 17}{res}{space 2} 17.99065{col 29}{space 2} 6.010407{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4}  6.21047{col 70}{space 3} 29.77083
{txt}{space 7}ussender {c |}{col 17}{res}{space 2} 4.509019{col 29}{space 2} .3809738{col 40}{space 1}   11.84{col 49}{space 3}0.000{col 57}{space 4} 3.762324{col 70}{space 3} 5.255714
{txt}{space 7}polity21 {c |}{col 17}{res}{space 2} .0107856{col 29}{space 2} .0191908{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.0268277{col 70}{space 3} .0483989
{txt}{space 7}polity22 {c |}{col 17}{res}{space 2}  .022811{col 29}{space 2} .0196212{col 40}{space 1}    1.16{col 49}{space 3}0.245{col 57}{space 4}-.0156459{col 70}{space 3} .0612679
{txt}{space 3}us_targetdem {c |}{col 17}{res}{space 2}-.0386626{col 29}{space 2} .0243497{col 40}{space 1}   -1.59{col 49}{space 3}0.112{col 57}{space 4} -.086387{col 70}{space 3} .0090619
{txt}{space 5}alliance_r {c |}{col 17}{res}{space 2} .5457277{col 29}{space 2} .2361993{col 40}{space 1}    2.31{col 49}{space 3}0.021{col 57}{space 4} .0827855{col 70}{space 3}  1.00867
{txt}{space 7}capratio {c |}{col 17}{res}{space 2}-.0526721{col 29}{space 2} .0526391{col 40}{space 1}   -1.00{col 49}{space 3}0.317{col 57}{space 4}-.1558429{col 70}{space 3} .0504987
{txt}{space 9}cwongo {c |}{col 17}{res}{space 2}  2.80676{col 29}{space 2} .5228786{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} 1.781937{col 70}{space 3} 3.831584
{txt}{space 1}threat_years_i {c |}{col 17}{res}{space 2}  -.59016{col 29}{space 2} .0545701{col 40}{space 1}  -10.81{col 49}{space 3}0.000{col 57}{space 4}-.6971154{col 70}{space 3}-.4832046
{txt}threat_years2_i {c |}{col 17}{res}{space 2} .0373411{col 29}{space 2} .0041273{col 40}{space 1}    9.05{col 49}{space 3}0.000{col 57}{space 4} .0292517{col 70}{space 3} .0454305
{txt}threat_years3_i {c |}{col 17}{res}{space 2} -.000706{col 29}{space 2}   .00009{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-.0008825{col 70}{space 3}-.0005295
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-14.56066{col 29}{space 2} 1.356919{col 40}{space 1}  -10.73{col 49}{space 3}0.000{col 57}{space 4}-17.22017{col 70}{space 3}-11.90115
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. prgen AddRestrictions, from (9.265653) to (195.8378) generate(durat) rest(mean) ci 

{res}logit{txt}: Predicted values as {res}AddRestrictions{txt} varies from {res}9.265653{txt} to {res}195.8378{txt}.

    AddRestric~s           BIT           IMF           WTO      jointdem  igomember_~g   lowtradedep      ussender      polity21
x=  {res}   90.973162     .00304391     .92205076     .14913527     .14409547     3.2427152     .00037498     .00843538     .74103479

    {txt}    polity22  us_targetdem    alliance_r      capratio        cwongo  threat_y~s_i  threat_y~2_i  threat_y~3_i
x=  {res}   .74103479     .00423865     .07178689             0     .00147654     14.803206     302.97821     7064.1713
{txt}
{com}. label variable duratp1 "Probability of Sanction Threat" 
{txt}
{com}. 
. label variable duratx "Additive Restrictions of Sender and Target States"  
{txt}
{com}. 
. label variable duratp1lb "95% lower limit" 
{txt}
{com}. 
. label variable duratp1ub "95% upper limit"
{txt}
{com}. 
. twoway (connected duratp1 duratx, lpattern(solid) lwidth(medthick) msymbol(none)) (connected duratp1lb duratx, lpattern(dash) lwidth(thin) msymbol(none)) (connected  duratp1ub duratx, lpattern(dash) lwidth(thin) msymbol(none)), saving(Figure6)
{res}{txt}(file Figure6.gph saved)

{com}. 
. drop duratx duratp0 duratp1 duratp0lb duratp1lb duratp0ub duratp1ub
{txt}
{com}. 
. 
. 
. 
. *Figure 7*
. logit imposition FinOpen BIT WTO jointdem igomember_log lowtradedep ussender polity21 polity22 us_targetdem alliance_r capratio cwongo, vce(cluster dyadid)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-519.05267}  
Iteration 1:{space 3}log pseudolikelihood = {res:-472.13014}  
Iteration 2:{space 3}log pseudolikelihood = {res:-471.18763}  
Iteration 3:{space 3}log pseudolikelihood = {res:-471.18462}  
Iteration 4:{space 3}log pseudolikelihood = {res:-471.18462}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       826
{txt}{col 51}Wald chi2({res}13{txt}){col 67}= {res}     54.00
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-471.18462{txt}{col 51}Pseudo R2{col 67}= {res}    0.0922

{txt}{ralign 79:(Std. Err. adjusted for {res:228} clusters in dyadid)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   imposition{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}FinOpen {c |}{col 15}{res}{space 2} .1517801{col 27}{space 2} .0632714{col 38}{space 1}    2.40{col 47}{space 3}0.016{col 55}{space 4} .0277705{col 68}{space 3} .2757897
{txt}{space 10}BIT {c |}{col 15}{res}{space 2}  .476383{col 27}{space 2} .8989778{col 38}{space 1}    0.53{col 47}{space 3}0.596{col 55}{space 4}-1.285581{col 68}{space 3} 2.238347
{txt}{space 10}WTO {c |}{col 15}{res}{space 2} .3558735{col 27}{space 2} .2561315{col 38}{space 1}    1.39{col 47}{space 3}0.165{col 55}{space 4} -.146135{col 68}{space 3} .8578821
{txt}{space 5}jointdem {c |}{col 15}{res}{space 2}-1.321626{col 27}{space 2} .3888492{col 38}{space 1}   -3.40{col 47}{space 3}0.001{col 55}{space 4}-2.083756{col 68}{space 3}-.5594957
{txt}igomember_log {c |}{col 15}{res}{space 2} .8793958{col 27}{space 2} .4938832{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4}-.0885976{col 68}{space 3} 1.847389
{txt}{space 2}lowtradedep {c |}{col 15}{res}{space 2}-8.768411{col 27}{space 2} 9.570932{col 38}{space 1}   -0.92{col 47}{space 3}0.360{col 55}{space 4}-27.52709{col 68}{space 3} 9.990271
{txt}{space 5}ussender {c |}{col 15}{res}{space 2} .9783222{col 27}{space 2} .3927296{col 38}{space 1}    2.49{col 47}{space 3}0.013{col 55}{space 4} .2085863{col 68}{space 3} 1.748058
{txt}{space 5}polity21 {c |}{col 15}{res}{space 2} -.004242{col 27}{space 2} .0326864{col 38}{space 1}   -0.13{col 47}{space 3}0.897{col 55}{space 4}-.0683062{col 68}{space 3} .0598221
{txt}{space 5}polity22 {c |}{col 15}{res}{space 2} .0355182{col 27}{space 2} .0306135{col 38}{space 1}    1.16{col 47}{space 3}0.246{col 55}{space 4}-.0244832{col 68}{space 3} .0955195
{txt}{space 1}us_targetdem {c |}{col 15}{res}{space 2} .0627313{col 27}{space 2} .0381931{col 38}{space 1}    1.64{col 47}{space 3}0.100{col 55}{space 4}-.0121257{col 68}{space 3} .1375884
{txt}{space 3}alliance_r {c |}{col 15}{res}{space 2}-.1453459{col 27}{space 2} .3099907{col 38}{space 1}   -0.47{col 47}{space 3}0.639{col 55}{space 4}-.7529165{col 68}{space 3} .4622246
{txt}{space 5}capratio {c |}{col 15}{res}{space 2} -.200267{col 27}{space 2} .0765964{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4}-.3503931{col 68}{space 3}-.0501409
{txt}{space 7}cwongo {c |}{col 15}{res}{space 2}-.3209757{col 27}{space 2} .4678367{col 38}{space 1}   -0.69{col 47}{space 3}0.493{col 55}{space 4}-1.237919{col 68}{space 3} .5959674
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-3.815588{col 27}{space 2} 1.717829{col 38}{space 1}   -2.22{col 47}{space 3}0.026{col 55}{space 4}-7.182471{col 68}{space 3}-.4487062
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. prgen FinOpen, from (-1.875024) to (2.421764) generate(durat) rest(mean) ci 

{res}logit{txt}: Predicted values as {res}FinOpen{txt} varies from {res}-1.875024{txt} to {res}2.421764{txt}.

         FinOpen           BIT           WTO      jointdem  igomember_~g   lowtradedep      ussender      polity21      polity22
x=  {res}  -.17918177     .00968523     .20338983     .39951574     3.6970849      .0034035     .61016949      7.535109     2.7566586

    {txt}us_targetdem    alliance_r      capratio        cwongo
x=  {res}   .75423729     .46489104     2.0060028     .03753027
{txt}
{com}. label variable duratp1 "Probability of Sanction Threat" 
{txt}
{com}. 
. label variable duratx "Lowest Financial Openness of Dyad"  
{txt}
{com}. 
. label variable duratp1lb "95% lower limit" 
{txt}
{com}. 
. label variable duratp1ub "95% upper limit"
{txt}
{com}. 
. twoway (connected duratp1 duratx, lpattern(solid) lwidth(medthick) msymbol(none)) (connected duratp1lb duratx, lpattern(dash) lwidth(thin) msymbol(none)) (connected  duratp1ub duratx, lpattern(dash) lwidth(thin) msymbol(none)), saving(Figure7)
{res}{txt}(file Figure7.gph saved)

{com}. 
. drop duratx duratp0 duratp1 duratp0lb duratp1lb duratp0ub duratp1ub
{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Jeff\Documents\DissertationFolder\Aid\FPA Publication Models.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}16 Jan 2017, 11:12:41
{txt}{.-}
{smcl}
{txt}{sf}{ul off}